Privacy-Preserved Distributed Optimization for Multi-Agent Systems With Antagonistic Interactions

This paper is concerned with the privacy-preserving distributed optimization problem for a class of cooperative-competitive multi-agent systems. Each agent only knows its own local objective function and interacts the state information with neighbors through a communication network. By means of the...

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Bibliographic Details

Published in:	IEEE transactions on circuits and systems. I, Regular papers Vol. 70; no. 3; pp. 1350 - 1360
Main Authors:	Luo, Qi, Liu, Shuai, Wang, Licheng, Tian, Engang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms bipartite consensus differential privacy Distributed optimization Graph theory Linear programming Multi-agent systems Multiagent systems Optimization Optimization algorithms Performance analysis Privacy signed graph
ISSN:	1549-8328, 1558-0806
Online Access:	Get full text
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