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University of Illinois – Urbana-Champaign

1.
Phadke, Nishad Ashok.
A framework for privacy-preserving, *distributed* machine learning using gradient obfuscation.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/99116

► Large-scale machine learning has recently risen to prominence in settings of both industry and academia, driven by today's newfound accessibility to data-collecting sensors and high-volume…
(more)

Subjects/Keywords: Distributed optimization; Privacy

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Phadke, N. A. (2017). A framework for privacy-preserving, distributed machine learning using gradient obfuscation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99116

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Phadke, Nishad Ashok. “A framework for privacy-preserving, distributed machine learning using gradient obfuscation.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed October 23, 2020. http://hdl.handle.net/2142/99116.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Phadke, Nishad Ashok. “A framework for privacy-preserving, distributed machine learning using gradient obfuscation.” 2017. Web. 23 Oct 2020.

Vancouver:

Phadke NA. A framework for privacy-preserving, distributed machine learning using gradient obfuscation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2142/99116.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Phadke NA. A framework for privacy-preserving, distributed machine learning using gradient obfuscation. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99116

Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

2. Li, Bo. Energy-aware replica selection for data-intensive services in cloud.

Degree: Computer Science (GCCIS), 2012, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/85

► With the increasing energy cost in data centers, an energy efficient approach to provide data intensive services in the cloud is highly in demand. This…
(more)

Subjects/Keywords: Distributed optimization; Distributed systems; Replica selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Li, B. (2012). Energy-aware replica selection for data-intensive services in cloud. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/85

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Li, Bo. “Energy-aware replica selection for data-intensive services in cloud.” 2012. Thesis, Rochester Institute of Technology. Accessed October 23, 2020. https://scholarworks.rit.edu/theses/85.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Bo. “Energy-aware replica selection for data-intensive services in cloud.” 2012. Web. 23 Oct 2020.

Vancouver:

Li B. Energy-aware replica selection for data-intensive services in cloud. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2020 Oct 23]. Available from: https://scholarworks.rit.edu/theses/85.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li B. Energy-aware replica selection for data-intensive services in cloud. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/85

Not specified: Masters Thesis or Doctoral Dissertation

Victoria University of Wellington

3.
Jellyman, Dayle Raymond.
Convex *Optimization* for *Distributed* Acoustic Beamforming.

Degree: 2017, Victoria University of Wellington

URL: http://hdl.handle.net/10063/6650

► Beamforming filter *optimization* can be performed over a *distributed* wireless sensor network, but the output calculation remains either centralized or linked in time to the…
(more)

Subjects/Keywords: Distributed; Beamforming; Convex optimization

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APA (6^{th} Edition):

Jellyman, D. R. (2017). Convex Optimization for Distributed Acoustic Beamforming. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6650

Chicago Manual of Style (16^{th} Edition):

Jellyman, Dayle Raymond. “Convex Optimization for Distributed Acoustic Beamforming.” 2017. Masters Thesis, Victoria University of Wellington. Accessed October 23, 2020. http://hdl.handle.net/10063/6650.

MLA Handbook (7^{th} Edition):

Jellyman, Dayle Raymond. “Convex Optimization for Distributed Acoustic Beamforming.” 2017. Web. 23 Oct 2020.

Vancouver:

Jellyman DR. Convex Optimization for Distributed Acoustic Beamforming. [Internet] [Masters thesis]. Victoria University of Wellington; 2017. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10063/6650.

Council of Science Editors:

Jellyman DR. Convex Optimization for Distributed Acoustic Beamforming. [Masters Thesis]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6650

University of Illinois – Urbana-Champaign

4.
Doan, Thinh Thanh.
On the performance of *distributed* algorithms for network *optimization* problems.

Degree: PhD, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/100998

► This thesis considers *optimization* problems defined over a network of nodes, where each node knows only part of the objective functions. We are motivated by…
(more)

Subjects/Keywords: Distributed algorithms; optimization; control theory

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Doan, T. T. (2018). On the performance of distributed algorithms for network optimization problems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100998

Chicago Manual of Style (16^{th} Edition):

Doan, Thinh Thanh. “On the performance of distributed algorithms for network optimization problems.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 23, 2020. http://hdl.handle.net/2142/100998.

MLA Handbook (7^{th} Edition):

Doan, Thinh Thanh. “On the performance of distributed algorithms for network optimization problems.” 2018. Web. 23 Oct 2020.

Vancouver:

Doan TT. On the performance of distributed algorithms for network optimization problems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2142/100998.

Council of Science Editors:

Doan TT. On the performance of distributed algorithms for network optimization problems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100998

Delft University of Technology

5.
Zeng, Yikai (author).
* Distributed* Coordination for Multi-fleet Truck Platooning.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:1a15878d-1e78-4db6-8c2f-07a09aeaa516

►

Truck platooning refers to coordinating a group of heavy-duty vehicles at a close inter-vehicle distance to reduce overall fuel consumption. This coordination between trucks is… (more)

Subjects/Keywords: truck platooning; distributed optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zeng, Y. (. (2020). Distributed Coordination for Multi-fleet Truck Platooning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1a15878d-1e78-4db6-8c2f-07a09aeaa516

Chicago Manual of Style (16^{th} Edition):

Zeng, Yikai (author). “Distributed Coordination for Multi-fleet Truck Platooning.” 2020. Masters Thesis, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:1a15878d-1e78-4db6-8c2f-07a09aeaa516.

MLA Handbook (7^{th} Edition):

Zeng, Yikai (author). “Distributed Coordination for Multi-fleet Truck Platooning.” 2020. Web. 23 Oct 2020.

Vancouver:

Zeng Y(. Distributed Coordination for Multi-fleet Truck Platooning. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:1a15878d-1e78-4db6-8c2f-07a09aeaa516.

Council of Science Editors:

Zeng Y(. Distributed Coordination for Multi-fleet Truck Platooning. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:1a15878d-1e78-4db6-8c2f-07a09aeaa516

Georgia Tech

6.
Zhou, Yi.
Stochastic algorithms for *distributed* *optimization* and machine learning.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60256

► In the big data era, machine learning acts as a powerful tool to help us make predictions and decisions. It has strong ties to the…
(more)

Subjects/Keywords: Randomized algorithms; Stochastic optimization; Distributed optimization; Machine learning; Distributed machine learning; Finite-sum optimization

Record Details Similar Records

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APA (6^{th} Edition):

Zhou, Y. (2018). Stochastic algorithms for distributed optimization and machine learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60256

Chicago Manual of Style (16^{th} Edition):

Zhou, Yi. “Stochastic algorithms for distributed optimization and machine learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 23, 2020. http://hdl.handle.net/1853/60256.

MLA Handbook (7^{th} Edition):

Zhou, Yi. “Stochastic algorithms for distributed optimization and machine learning.” 2018. Web. 23 Oct 2020.

Vancouver:

Zhou Y. Stochastic algorithms for distributed optimization and machine learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1853/60256.

Council of Science Editors:

Zhou Y. Stochastic algorithms for distributed optimization and machine learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60256

Delft University of Technology

7.
Zhang, H.M. (author).
* Distributed* Convex

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

►

The Primal-Dual Method of Multipliers (PDMM) is a new algorithm that solves convex *optimization* problems in a *distributed* manner. This study focuses on the convergence…
(more)

Subjects/Keywords: convex optimization; distributed signal processing; ADMM; PDMM

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhang, H. M. (. (2015). Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

Chicago Manual of Style (16^{th} Edition):

Zhang, H M (author). “Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers.” 2015. Masters Thesis, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b.

MLA Handbook (7^{th} Edition):

Zhang, H M (author). “Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers.” 2015. Web. 23 Oct 2020.

Vancouver:

Zhang HM(. Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b.

Council of Science Editors:

Zhang HM(. Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:932db0bb-da4c-4ffe-892a-036d01a8071b

University of Toronto

8.
Srikantha, Pirathayini.
*Distributed**Optimization* of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations.

Degree: PhD, 2017, University of Toronto

URL: http://hdl.handle.net/1807/79482

► Today's electric grid is rapidly evolving to provision for heterogeneous system components (e.g. intermittent generation, electric vehicles, storage devices, etc.) while catering to diverse consumer…
(more)

Subjects/Keywords: Distributed Optimization; Game theory; Sustainability; 0537

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APA (6^{th} Edition):

Srikantha, P. (2017). Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/79482

Chicago Manual of Style (16^{th} Edition):

Srikantha, Pirathayini. “Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations.” 2017. Doctoral Dissertation, University of Toronto. Accessed October 23, 2020. http://hdl.handle.net/1807/79482.

MLA Handbook (7^{th} Edition):

Srikantha, Pirathayini. “Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations.” 2017. Web. 23 Oct 2020.

Vancouver:

Srikantha P. Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations. [Internet] [Doctoral dissertation]. University of Toronto; 2017. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1807/79482.

Council of Science Editors:

Srikantha P. Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations. [Doctoral Dissertation]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79482

9. Wu, Xiaofan. Sparsity-promoting optimal control of power networks.

Degree: PhD, Electrical/Computer Engineering, 2016, University of Minnesota

URL: http://hdl.handle.net/11299/185164

► In this dissertation, we study the problems of structure design and optimal control of consensus and synchronization networks. Our objective is to design controller that…
(more)

Subjects/Keywords: control; distributed systems; optimization; power systems

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wu, X. (2016). Sparsity-promoting optimal control of power networks. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/185164

Chicago Manual of Style (16^{th} Edition):

Wu, Xiaofan. “Sparsity-promoting optimal control of power networks.” 2016. Doctoral Dissertation, University of Minnesota. Accessed October 23, 2020. http://hdl.handle.net/11299/185164.

MLA Handbook (7^{th} Edition):

Wu, Xiaofan. “Sparsity-promoting optimal control of power networks.” 2016. Web. 23 Oct 2020.

Vancouver:

Wu X. Sparsity-promoting optimal control of power networks. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11299/185164.

Council of Science Editors:

Wu X. Sparsity-promoting optimal control of power networks. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/185164

10.
Patvarczki, Jozsef.
Layout *Optimization* for *Distributed* Relational Databases Using Machine Learning.

Degree: PhD, 2012, Worcester Polytechnic Institute

URL: etd-052312-120132 ; https://digitalcommons.wpi.edu/etd-dissertations/291

► A common problem when running Web-based applications is how to scale-up the database. The solution to this problem usually involves having a smart Database Administrator…
(more)

Subjects/Keywords: distributed databases; machine learning; layout optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Patvarczki, J. (2012). Layout Optimization for Distributed Relational Databases Using Machine Learning. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-052312-120132 ; https://digitalcommons.wpi.edu/etd-dissertations/291

Chicago Manual of Style (16^{th} Edition):

Patvarczki, Jozsef. “Layout Optimization for Distributed Relational Databases Using Machine Learning.” 2012. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed October 23, 2020. etd-052312-120132 ; https://digitalcommons.wpi.edu/etd-dissertations/291.

MLA Handbook (7^{th} Edition):

Patvarczki, Jozsef. “Layout Optimization for Distributed Relational Databases Using Machine Learning.” 2012. Web. 23 Oct 2020.

Vancouver:

Patvarczki J. Layout Optimization for Distributed Relational Databases Using Machine Learning. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2012. [cited 2020 Oct 23]. Available from: etd-052312-120132 ; https://digitalcommons.wpi.edu/etd-dissertations/291.

Council of Science Editors:

Patvarczki J. Layout Optimization for Distributed Relational Databases Using Machine Learning. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2012. Available from: etd-052312-120132 ; https://digitalcommons.wpi.edu/etd-dissertations/291

Carnegie Mellon University

11. Dai, Wei. Learning with Staleness.

Degree: 2018, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1209

► A fundamental assumption behind most machine learning (ML) algorithms and analyses is the sequential execution. That is, any update to the ML model can be…
(more)

Subjects/Keywords: Large Scale Machine Learning; Distributed Optimization Method; Distributed System; Parameter Server

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dai, W. (2018). Learning with Staleness. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1209

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dai, Wei. “Learning with Staleness.” 2018. Thesis, Carnegie Mellon University. Accessed October 23, 2020. http://repository.cmu.edu/dissertations/1209.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dai, Wei. “Learning with Staleness.” 2018. Web. 23 Oct 2020.

Vancouver:

Dai W. Learning with Staleness. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Oct 23]. Available from: http://repository.cmu.edu/dissertations/1209.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dai W. Learning with Staleness. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1209

Not specified: Masters Thesis or Doctoral Dissertation

Queens University

12.
Ebegbulem, Judith.
* Distributed* control of multi-agent systems using extremum seeking
.

Degree: Chemical Engineering, 2016, Queens University

URL: http://hdl.handle.net/1974/14167

► A model free control technique (extremum seeking) is employed to address problems of large-scale systems involving multi-agents in real-time. This thesis focuses on the use…
(more)

Subjects/Keywords: Multi-agent systems ; Distributed control ; Extremum seeking control ; Distributed optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ebegbulem, J. (2016). Distributed control of multi-agent systems using extremum seeking . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14167

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ebegbulem, Judith. “Distributed control of multi-agent systems using extremum seeking .” 2016. Thesis, Queens University. Accessed October 23, 2020. http://hdl.handle.net/1974/14167.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ebegbulem, Judith. “Distributed control of multi-agent systems using extremum seeking .” 2016. Web. 23 Oct 2020.

Vancouver:

Ebegbulem J. Distributed control of multi-agent systems using extremum seeking . [Internet] [Thesis]. Queens University; 2016. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1974/14167.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ebegbulem J. Distributed control of multi-agent systems using extremum seeking . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14167

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

13.
Tang, Wentao.
Methods Of *Distributed* And Nonlinear Process Control: Structuredness, Optimality And Intelligence.

Degree: PhD, Chemical Engineering, 2020, University of Minnesota

URL: http://hdl.handle.net/11299/215092

► Chemical processes are intrinsically nonlinear and often integrated into large-scale networks, which are difficult to control effectively. The traditional challenges faced by process control, as…
(more)

Subjects/Keywords: Data-driven control; Distributed control; Distributed optimization; Nonlinear systems; Process control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Tang, W. (2020). Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/215092

Chicago Manual of Style (16^{th} Edition):

Tang, Wentao. “Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence.” 2020. Doctoral Dissertation, University of Minnesota. Accessed October 23, 2020. http://hdl.handle.net/11299/215092.

MLA Handbook (7^{th} Edition):

Tang, Wentao. “Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence.” 2020. Web. 23 Oct 2020.

Vancouver:

Tang W. Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence. [Internet] [Doctoral dissertation]. University of Minnesota; 2020. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11299/215092.

Council of Science Editors:

Tang W. Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence. [Doctoral Dissertation]. University of Minnesota; 2020. Available from: http://hdl.handle.net/11299/215092

NSYSU

14.
Huang, Bo-chi.
* Distributed* Spiral

Degree: Master, Computer Science and Engineering, 2013, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

► Nowadays, metaheuristics have become more and more important in solving the combinatorial *optimization* problems (COPs) for which the traditional methods (such as k-means, tabu search,…
(more)

Subjects/Keywords: metaheuristic; spiral optimization; clustering; sensitivity analysis; distributed spiral optimization

Record Details Similar Records

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APA (6^{th} Edition):

Huang, B. (2013). Distributed Spiral Optimization: Using Clustering as a Case. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Huang, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Thesis, NSYSU. Accessed October 23, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Huang, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Web. 23 Oct 2020.

Vancouver:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Oct 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

Not specified: Masters Thesis or Doctoral Dissertation

Carnegie Mellon University

15.
Reddi, Sashank Jakkam.
New *Optimization* Methods for Modern Machine Learning.

Degree: 2017, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1116

► Modern machine learning systems pose several new statistical, scalability, privacy and ethical challenges. With the advent of massive datasets and increasingly complex tasks, scalability has…
(more)

Subjects/Keywords: Machine Learning; Optimization; Large-scale; Distributed optimization; Communication-efficient; Finite-sum

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Reddi, S. J. (2017). New Optimization Methods for Modern Machine Learning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1116

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Thesis, Carnegie Mellon University. Accessed October 23, 2020. http://repository.cmu.edu/dissertations/1116.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reddi, Sashank Jakkam. “New Optimization Methods for Modern Machine Learning.” 2017. Web. 23 Oct 2020.

Vancouver:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Oct 23]. Available from: http://repository.cmu.edu/dissertations/1116.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddi SJ. New Optimization Methods for Modern Machine Learning. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1116

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

16.
van Dam, Floris (author).
* Distributed* Collision Free Trajectory

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:e1b6dbe5-e7cd-4aad-b8c6-ffbdeb5654a1

►

In recent years there has been an increasing interest in formation flying with many lightweight spacecraft, as satellite missions can potentially become cheaper and more… (more)

Subjects/Keywords: Distributed optimization; Collision Avoidance; Spacecraft; Formation Flight; Trajectory optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

van Dam, F. (. (2019). Distributed Collision Free Trajectory Optimization for the Reconfiguration of a Spacecraft Formation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e1b6dbe5-e7cd-4aad-b8c6-ffbdeb5654a1

Chicago Manual of Style (16^{th} Edition):

van Dam, Floris (author). “Distributed Collision Free Trajectory Optimization for the Reconfiguration of a Spacecraft Formation.” 2019. Masters Thesis, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:e1b6dbe5-e7cd-4aad-b8c6-ffbdeb5654a1.

MLA Handbook (7^{th} Edition):

van Dam, Floris (author). “Distributed Collision Free Trajectory Optimization for the Reconfiguration of a Spacecraft Formation.” 2019. Web. 23 Oct 2020.

Vancouver:

van Dam F(. Distributed Collision Free Trajectory Optimization for the Reconfiguration of a Spacecraft Formation. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:e1b6dbe5-e7cd-4aad-b8c6-ffbdeb5654a1.

Council of Science Editors:

van Dam F(. Distributed Collision Free Trajectory Optimization for the Reconfiguration of a Spacecraft Formation. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:e1b6dbe5-e7cd-4aad-b8c6-ffbdeb5654a1

UCLA

17. Towfic, Zaid Joseph. Online Learning Over Networks.

Degree: Electrical Engineering, 2014, UCLA

URL: http://www.escholarship.org/uc/item/15w589fn

► *Distributed* convex *optimization* refers to the task of minimizing the aggregate sum of convex risk functions, each available at an agent of a connected network,…
(more)

Subjects/Keywords: Electrical engineering; Computer science; diffusion strategies; distributed optimization; online learning; optimization; stochastic optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Towfic, Z. J. (2014). Online Learning Over Networks. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/15w589fn

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Towfic, Zaid Joseph. “Online Learning Over Networks.” 2014. Thesis, UCLA. Accessed October 23, 2020. http://www.escholarship.org/uc/item/15w589fn.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Towfic, Zaid Joseph. “Online Learning Over Networks.” 2014. Web. 23 Oct 2020.

Vancouver:

Towfic ZJ. Online Learning Over Networks. [Internet] [Thesis]. UCLA; 2014. [cited 2020 Oct 23]. Available from: http://www.escholarship.org/uc/item/15w589fn.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Towfic ZJ. Online Learning Over Networks. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/15w589fn

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

18.
Wang, Zi.
First-Order Methods for Large Scale Convex * Optimization*.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13485zxw121

► The revolution of storage technology in the past few decades made it possible to gather tremendous amount of data anywhere from demand and sales records…
(more)

Subjects/Keywords: first-order methods; convex optimization; distributed optimization; convex regression; multi-agent consensus optimization

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APA (6^{th} Edition):

Wang, Z. (2016). First-Order Methods for Large Scale Convex Optimization. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13485zxw121

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Zi. “First-Order Methods for Large Scale Convex Optimization.” 2016. Thesis, Penn State University. Accessed October 23, 2020. https://submit-etda.libraries.psu.edu/catalog/13485zxw121.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Zi. “First-Order Methods for Large Scale Convex Optimization.” 2016. Web. 23 Oct 2020.

Vancouver:

Wang Z. First-Order Methods for Large Scale Convex Optimization. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/13485zxw121.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Z. First-Order Methods for Large Scale Convex Optimization. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13485zxw121

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

19.
Ahmadi, Hesamoddin.
On the Analysis of Data-driven and *Distributed* Algorithms for Convex *Optimization* Problems.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/29502

► This dissertation considers the resolution of three *optimization* problems. Of these, the first two problems are closely related and focus on solving *optimization* problems in…
(more)

Subjects/Keywords: Optimization and learning; distributed optimization in power system; convex optimization; augmented Lagrangian

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ahmadi, H. (2016). On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29502

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Thesis, Penn State University. Accessed October 23, 2020. https://submit-etda.libraries.psu.edu/catalog/29502.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Web. 23 Oct 2020.

Vancouver:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/29502.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29502

Not specified: Masters Thesis or Doctoral Dissertation

Carnegie Mellon University

20.
Guo, Junyao.
*Distributed**Optimization* in Electric Power Systems: Partitioning, Communications, and Synchronization.

Degree: 2018, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1140

► To integrate large volumes of renewables and use electricity more efficiently, many industrial trials are on-going around the world that aim to realize decentralized or…
(more)

Subjects/Keywords: asynchronous optimization; distributed optimization; nonconvex optimization; optimal power flow; power system partitioning; smart grid communications

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Guo, J. (2018). Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1140

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Thesis, Carnegie Mellon University. Accessed October 23, 2020. http://repository.cmu.edu/dissertations/1140.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Web. 23 Oct 2020.

Vancouver:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Oct 23]. Available from: http://repository.cmu.edu/dissertations/1140.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1140

Not specified: Masters Thesis or Doctoral Dissertation

Iowa State University

21.
Wang, Jing.
* Distributed* averaging over communication networks:Fragility, robustness and opportunities.

Degree: 2011, Iowa State University

URL: https://lib.dr.iastate.edu/etd/10119

► *Distributed* averaging, a canonical operation among many natural interconnected systems, has found applications in a tremendous variety of applied fields, including statistical physics, signal processing,…
(more)

Subjects/Keywords: Consensus; Delays; Distributed Averaging; Distributed Optimization; Fading Channels; Levy Flight; Electrical and Computer Engineering

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, J. (2011). Distributed averaging over communication networks:Fragility, robustness and opportunities. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10119

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Jing. “Distributed averaging over communication networks:Fragility, robustness and opportunities.” 2011. Thesis, Iowa State University. Accessed October 23, 2020. https://lib.dr.iastate.edu/etd/10119.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Jing. “Distributed averaging over communication networks:Fragility, robustness and opportunities.” 2011. Web. 23 Oct 2020.

Vancouver:

Wang J. Distributed averaging over communication networks:Fragility, robustness and opportunities. [Internet] [Thesis]. Iowa State University; 2011. [cited 2020 Oct 23]. Available from: https://lib.dr.iastate.edu/etd/10119.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang J. Distributed averaging over communication networks:Fragility, robustness and opportunities. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/10119

Not specified: Masters Thesis or Doctoral Dissertation

22. Weerasinghe, Handuwala Dewage Dulan Jayanatha. Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system.

Degree: PhD, Electrical and Computer Engineering, 2015, Kansas State University

URL: http://hdl.handle.net/2097/28714

► Optimizing renewable *distributed* generation in distribution systems has gained popularity with changes in federal energy policies. Various studies have been reported in this regard and…
(more)

Subjects/Keywords: Distributed wind generation; Distribution system; Distributed energy storage system; Optimization; Electrical Engineering (0544)

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Weerasinghe, H. D. D. J. (2015). Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/28714

Chicago Manual of Style (16^{th} Edition):

Weerasinghe, Handuwala Dewage Dulan Jayanatha. “Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system.” 2015. Doctoral Dissertation, Kansas State University. Accessed October 23, 2020. http://hdl.handle.net/2097/28714.

MLA Handbook (7^{th} Edition):

Weerasinghe, Handuwala Dewage Dulan Jayanatha. “Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system.” 2015. Web. 23 Oct 2020.

Vancouver:

Weerasinghe HDDJ. Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system. [Internet] [Doctoral dissertation]. Kansas State University; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2097/28714.

Council of Science Editors:

Weerasinghe HDDJ. Planning optimal load distribution and maximum renewable energy from wind power on a radial distribution system. [Doctoral Dissertation]. Kansas State University; 2015. Available from: http://hdl.handle.net/2097/28714

The Ohio State University

23.
Wang, Sinong.
Coded Computation for Speeding up *Distributed* Machine
Learning.

Degree: PhD, Electrical and Computer Engineering, 2019, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062

► Large-scale machine learning has shown great promise for solving many practical applications. Such applications require massive training datasets and model parameters, and force practitioners to…
(more)

Subjects/Keywords: Computer Science; Electrical Engineering; Machine learning; distributed computation; information theory; coding theory; distributed optimization

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, S. (2019). Coded Computation for Speeding up Distributed Machine Learning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062

Chicago Manual of Style (16^{th} Edition):

Wang, Sinong. “Coded Computation for Speeding up Distributed Machine Learning.” 2019. Doctoral Dissertation, The Ohio State University. Accessed October 23, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062.

MLA Handbook (7^{th} Edition):

Wang, Sinong. “Coded Computation for Speeding up Distributed Machine Learning.” 2019. Web. 23 Oct 2020.

Vancouver:

Wang S. Coded Computation for Speeding up Distributed Machine Learning. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2020 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062.

Council of Science Editors:

Wang S. Coded Computation for Speeding up Distributed Machine Learning. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062

University of Washington

24.
Meng, De.
Graph Design via Convex *Optimization*: Online and *Distributed* Perspectives.

Degree: PhD, 2017, University of Washington

URL: http://hdl.handle.net/1773/40058

► Network and graph have long been natural abstraction of relations in a variety of applications, e.g. transportation, power system, social network, communication, electrical circuit, etc.…
(more)

Subjects/Keywords: Convex Optimization; Distributed Optimization; Geodesic Distance; Graph and Network; Numerical Optimization; Online Optimization; Electrical engineering; Mathematics; Electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Meng, D. (2017). Graph Design via Convex Optimization: Online and Distributed Perspectives. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40058

Chicago Manual of Style (16^{th} Edition):

Meng, De. “Graph Design via Convex Optimization: Online and Distributed Perspectives.” 2017. Doctoral Dissertation, University of Washington. Accessed October 23, 2020. http://hdl.handle.net/1773/40058.

MLA Handbook (7^{th} Edition):

Meng, De. “Graph Design via Convex Optimization: Online and Distributed Perspectives.” 2017. Web. 23 Oct 2020.

Vancouver:

Meng D. Graph Design via Convex Optimization: Online and Distributed Perspectives. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1773/40058.

Council of Science Editors:

Meng D. Graph Design via Convex Optimization: Online and Distributed Perspectives. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40058

University of Alberta

25.
Sahar, Movaghati.
* Distributed* Estimation and Quantization Algorithms for
Wireless Sensor Networks.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, University of Alberta

URL: https://era.library.ualberta.ca/files/cxd07gs82z

► In *distributed* sensing systems, measurements from a random process or parameter are usually not available in one place. Also, the processing resources are *distributed* over…
(more)

Subjects/Keywords: distributed quantization; assignment problem; bayesian networks; distributed algorithm; distributed estimation; optimization; particle filtering; factor graph; wireless sensor network; mutual information

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sahar, M. (2014). Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cxd07gs82z

Chicago Manual of Style (16^{th} Edition):

Sahar, Movaghati. “Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks.” 2014. Doctoral Dissertation, University of Alberta. Accessed October 23, 2020. https://era.library.ualberta.ca/files/cxd07gs82z.

MLA Handbook (7^{th} Edition):

Sahar, Movaghati. “Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks.” 2014. Web. 23 Oct 2020.

Vancouver:

Sahar M. Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2020 Oct 23]. Available from: https://era.library.ualberta.ca/files/cxd07gs82z.

Council of Science Editors:

Sahar M. Distributed Estimation and Quantization Algorithms for Wireless Sensor Networks. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/cxd07gs82z

Delft University of Technology

26.
Simonetto, A.
* Distributed* Estimation and Control for Robotic Networks.

Degree: 2012, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3

► Mobile robots that communicate and cooperate to achieve a common task have been the *subject* of an increasing research interest in recent years. These possibly…
(more)

Subjects/Keywords: Distributed Optimization; Robotics; Sensor Networks; Distributed Control; Distributed Estimation

Record Details Similar Records

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APA (6^{th} Edition):

Simonetto, A. (2012). Distributed Estimation and Control for Robotic Networks. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3

Chicago Manual of Style (16^{th} Edition):

Simonetto, A. “Distributed Estimation and Control for Robotic Networks.” 2012. Doctoral Dissertation, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3.

MLA Handbook (7^{th} Edition):

Simonetto, A. “Distributed Estimation and Control for Robotic Networks.” 2012. Web. 23 Oct 2020.

Vancouver:

Simonetto A. Distributed Estimation and Control for Robotic Networks. [Internet] [Doctoral dissertation]. Delft University of Technology; 2012. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3.

Council of Science Editors:

Simonetto A. Distributed Estimation and Control for Robotic Networks. [Doctoral Dissertation]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; urn:NBN:nl:ui:24-uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3 ; http://resolver.tudelft.nl/uuid:5813eccb-4292-4fbf-8dbe-b0d31bdaede3

University of Illinois – Urbana-Champaign

27. Robbins, Brett Andrew. Architectures and algorithms for voltage control in power distribution systems.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/78592

► In this thesis, we propose a hierarchical control architecture for voltage in power distribution networks where there is a separation between the slow time-scale, in…
(more)

Subjects/Keywords: Power Systems; Power Distribution Systems; Voltage Regulation; Optimization; Distributed Optimization; Optimal Power Flow; Convex Relaxation; Distributed Energy Resources

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Robbins, B. A. (2015). Architectures and algorithms for voltage control in power distribution systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78592

Chicago Manual of Style (16^{th} Edition):

Robbins, Brett Andrew. “Architectures and algorithms for voltage control in power distribution systems.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 23, 2020. http://hdl.handle.net/2142/78592.

MLA Handbook (7^{th} Edition):

Robbins, Brett Andrew. “Architectures and algorithms for voltage control in power distribution systems.” 2015. Web. 23 Oct 2020.

Vancouver:

Robbins BA. Architectures and algorithms for voltage control in power distribution systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2142/78592.

Council of Science Editors:

Robbins BA. Architectures and algorithms for voltage control in power distribution systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78592

Queens University

28.
Akbari Varnousfaderani, Mohammad Jr.
* Distributed* Online

Degree: Mathematics and Statistics, 2015, Queens University

URL: http://hdl.handle.net/1974/13551

► This thesis introduces two classes of discrete-time *distributed* online *optimization* algorithms, with a group of agents which communicate over a network. At each time, a…
(more)

Subjects/Keywords: Multi-agent Systems ; Sensor Networks ; Distributed Optimization ; Subgradient Algorithm ; Method of Multipliers ; Online Optimization

Record Details Similar Records

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APA (6^{th} Edition):

Akbari Varnousfaderani, M. J. (2015). Distributed Online Optimization on time-varying networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13551

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Thesis, Queens University. Accessed October 23, 2020. http://hdl.handle.net/1974/13551.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Web. 23 Oct 2020.

Vancouver:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1974/13551.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13551

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

29. Sharma, Kamal Gopal. Locality Transformations of Computation and Data for Portable Performance.

Degree: PhD, Engineering, 2014, Rice University

URL: http://hdl.handle.net/1911/88159

► Recently, multi-cores chips have become omnipresent in computer systems ranging from high-end servers to mobile phones. A variety of multi-core architectures have been developed which…
(more)

Subjects/Keywords: Locality Transformations; Cache Optimization; Tile size selection; Data Layout Optimization; Performance; Distributed Function Selection

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APA (6^{th} Edition):

Sharma, K. G. (2014). Locality Transformations of Computation and Data for Portable Performance. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/88159

Chicago Manual of Style (16^{th} Edition):

Sharma, Kamal Gopal. “Locality Transformations of Computation and Data for Portable Performance.” 2014. Doctoral Dissertation, Rice University. Accessed October 23, 2020. http://hdl.handle.net/1911/88159.

MLA Handbook (7^{th} Edition):

Sharma, Kamal Gopal. “Locality Transformations of Computation and Data for Portable Performance.” 2014. Web. 23 Oct 2020.

Vancouver:

Sharma KG. Locality Transformations of Computation and Data for Portable Performance. [Internet] [Doctoral dissertation]. Rice University; 2014. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1911/88159.

Council of Science Editors:

Sharma KG. Locality Transformations of Computation and Data for Portable Performance. [Doctoral Dissertation]. Rice University; 2014. Available from: http://hdl.handle.net/1911/88159

Delft University of Technology

30.
de Luis, R.H. (author).
Optimal Placement and Sizing of *Distributed* Generation.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:28671d8a-a00a-4526-a670-0c1e80ad50ff

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In this thesis work we solve the problem of optimal placement and sizing of *distributed* generation by using an original Fuzzy Adaptive Particle Swarm *Optimization*…
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Subjects/Keywords: Distributed Generation; Investment Planning; Microgrids; Distribution Networks; Optimization; Particle Swarm Optimization; Linear Programming

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APA (6^{th} Edition):

de Luis, R. H. (. (2016). Optimal Placement and Sizing of Distributed Generation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:28671d8a-a00a-4526-a670-0c1e80ad50ff

Chicago Manual of Style (16^{th} Edition):

de Luis, R H (author). “Optimal Placement and Sizing of Distributed Generation.” 2016. Masters Thesis, Delft University of Technology. Accessed October 23, 2020. http://resolver.tudelft.nl/uuid:28671d8a-a00a-4526-a670-0c1e80ad50ff.

MLA Handbook (7^{th} Edition):

de Luis, R H (author). “Optimal Placement and Sizing of Distributed Generation.” 2016. Web. 23 Oct 2020.

Vancouver:

de Luis RH(. Optimal Placement and Sizing of Distributed Generation. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:28671d8a-a00a-4526-a670-0c1e80ad50ff.

Council of Science Editors:

de Luis RH(. Optimal Placement and Sizing of Distributed Generation. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:28671d8a-a00a-4526-a670-0c1e80ad50ff