Convergence of asynchronous distributed gradient methods over stochastic networks

Convergence of asynchronous distributed gradient methods over stochastic networks

We consider distributed optimization problems in which a number of agents are to seek the global optimum of a sum of cost functions through only local information sharing. In this paper, we are particularly interested in scenarios, where agents are operating asynchronously over stochastic networks s...

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Bibliographic Details
Main Authors: Xu, Jinming, Zhu, Shanying, Soh, Yeng Chai, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Convergence
Distributed Optimization
Online Access:https://hdl.handle.net/10356/145309

Internet

https://hdl.handle.net/10356/145309

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