R-DOCO: Resilient Distributed Online Convex Optimization Against Adversarial Attacks

R-DOCO: Resilient Distributed Online Convex Optimization Against Adversarial Attacks

This paper addresses the problem of distributed constrained optimization in a multi-agent system where some agents may deviate from the prescribed update rules due to failures or malicious adversarial attacks. The objective is to minimize the collective cost of the unattacked agents while respecting...

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Bibliographic Details
Main Authors:	Zhixiang Kong, Huajian Xu, Chengsheng Pan
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Mathematics
Subjects:	distributed projected gradient descent resilient online optimization adversarial attack multi-agent systems
Online Access:	https://www.mdpi.com/2227-7390/12/21/3439
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