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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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 55; číslo 3; s. 2147 - 2159
Hlavní autori:	Li, Huaqing, Cheng, Huqiang, Lu, Qingguo, Wang, Zheng, Huang, Tingwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2025
Predmet:	Asynchronous algorithm Asynchronous communication Convergence delay Delays distributed optimization Fasteners linear convergence Linear programming Optimization Protocols Synchronization System recovery
ISSN:	2168-2216, 2168-2232
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