Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis

We study distributed composite optimization over networks: agents minimize a sum of smooth (strongly) convex functions-the agents' sum-utility-plus a nonsmooth (extended-valued) convex one. We propose a general unified algorithmic framework for such a class of problems and provide a convergence...

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Bibliographic Details

Published in:	IEEE transactions on signal processing Vol. 69; pp. 3555 - 3570
Main Authors:	Xu, Jinming, Tian, Ye, Sun, Ying, Scutari, Gesualdo
Format:	Journal Article
Language:	English
Published:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Convergence Decoupling Distributed algorithms Distributed optimization Electronic mail Heterogeneity linear convergence Network topologies Network topology Operators (mathematics) Optimization Signal processing algorithms Sun Tuning
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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