Optimal gradient tracking for decentralized optimization

In this paper, we focus on solving the decentralized optimization problem of minimizing the sum of n objective functions over a multi-agent network. The agents are embedded in an undirected graph where they can only send/receive information directly to/from their immediate neighbors. Assuming smooth...

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Veröffentlicht in:	Mathematical programming Jg. 207; H. 1-2; S. 1 - 53
Hauptverfasser:	Song, Zhuoqing, Shi, Lei, Pu, Shi, Yan, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024
Schlagworte:	Calculus of Variations and Optimal Control; Optimization Combinatorics Full Length Paper Mathematical and Computational Physics Mathematical Methods in Physics Mathematics Mathematics and Statistics Mathematics of Computing Numerical Analysis Theoretical 90C30 Decentralized optimization Randomized algorithm Convex optimization Accelerated gradient method 90C25
ISSN:	0025-5610, 1436-4646
Online-Zugang:	Volltext
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