DESTRESS: Computation-optimal and communication-efficient decentralized nonconvex finite-sum optimization

DESTRESS: Computation-optimal and communication-efficient decentralized nonconvex finite-sum optimization

Emerging applications in multiagent environments such as internet-of-things, networked sensing, autonomous systems, and federated learning, call for decentralized algorithms for finite-sum optimizations that are resource efficient in terms of both computation and communication. In this paper, we con...

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書目詳細資料
Main Authors:	LI, Boyue, LI, Zhize, CHI, Yuejie
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2022
主題:	decentralized optimization nonconvex finite-sum optimization stochastic recursive gradient methods Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8691 https://ink.library.smu.edu.sg/context/sis_research/article/9694/viewcontent/SIMODS22_destress.pdf
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