Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable function and two possibly nonsmooth functions, one of which incorporates a linear mapping. To address this problem, w...

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Vydané v:	IEEE transactions on emerging topics in computational intelligence Ročník 9; číslo 2; s. 1595 - 1609
Hlavní autori:	Ran, Liang, Li, Huaqing, Zheng, Lifeng, Li, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Asynchrony Convergence Convex functions delayed communication Delays Distributed algorithms distributed optimization algorithm Multiagent systems nonsmooth convex functions Operators (mathematics) Optimization Vectors
ISSN:	2471-285X, 2471-285X
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