A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition-Reference-Cited by-同舟云学术

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A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition

Published:2023-12 Issue:4 Volume:10 Page:2165-2177
ISSN:2325-5870
Container-title:IEEE Transactions on Control of Network Systems
language:
Short-container-title:IEEE Trans. Control Netw. Syst.

Author:

Chen Xiaomeng¹^ORCID,Huang Lingying¹^ORCID,He Lidong²^ORCID,Dey Subhrakanti³^ORCID,Shi Ling¹^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

2. School of Automation, Nanjing University of Science and Technology, Nanjing, China

3. Department of Electrical Engineering, Uppsala University, Uppsala, Sweden

Funder

Hong Kong RGC General Research Fund

National Natural Science Foundation of China

Vetenskapsrådet

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6509490/10364889/10093062.pdf?arnumber=10093062

Reference30 articles.

1. A Distributed Optimization Algorithm for the Predictive Control of Smart Grids

2. An Extremum-Seeking Controller for Distributed Optimization Over Sensor Networks

3. Distributed Optimization and Coordination Algorithms for Dynamic Traffic Metering in Urban Street Networks

4. Distributed Subgradient Methods for Multi-Agent Optimization

5. Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes

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