Linear Convergence of Asynchronous Gradient Push Algorithm for Distributed Optimization

This article focuses on multiagent distributed asynchronous optimization over directed networks where each agent can only access its individual local function, and the aggregate aim is to minimize the cumulative sum of all local functions. Considering the asynchrony among the agents, we develop an a...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems Jg. 55; H. 3; S. 2147 - 2159
Hauptverfasser:	Li, Huaqing, Cheng, Huqiang, Lu, Qingguo, Wang, Zheng, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2025
Schlagworte:	Asynchronous algorithm Asynchronous communication Convergence delay Delays distributed optimization Fasteners linear convergence Linear programming Optimization Protocols Synchronization System recovery
ISSN:	2168-2216, 2168-2232
Online-Zugang:	Volltext
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