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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Bibliographic Details
Main Authors: LI, Boyue, LI, Zhize, CHI, Yuejie
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access: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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Institution: Singapore Management University
Language: English

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