Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks

Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks

In this paper, we focus on the nonsmooth composite optimization problems over networks, which consist of a smooth term and a nonsmooth term. Both equality constraints and box constraints for the decision variables are also considered. Based on the multi-agent networks, the objective problems are spl...

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Bibliographic Details
Main Authors: Liping Feng, Liang Ran, Guoyang Meng, Jialong Tang, Wentao Ding, Huaqing Li
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Entropy
Subjects:
nonsmooth optimization
decentralized optimization
primal-dual algorithm
uncoordinated stepsizes
distributed signal processing
information processing
Online Access:https://www.mdpi.com/1099-4300/24/9/1278

Internet

https://www.mdpi.com/1099-4300/24/9/1278

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