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Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
26 June 2021
Changxin Liu
Zirui Zhou
J. Pei
Yong Zhang
Yang Shi
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Papers citing
"Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence"
11 / 11 papers shown
Title
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova
Nicolas Loizou
Sadra Boreiri
Martin Jaggi
Sebastian U. Stich
FedML
78
506
0
23 Mar 2020
Unifying mirror descent and dual averaging
A. Juditsky
Joon Kwon
Eric Moulines
40
29
0
30 Oct 2019
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman A. Alghunaim
Kun Yuan
Ali H. Sayed
51
62
0
20 May 2019
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
32
320
0
15 Oct 2018
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian
Ce Zhang
Huan Zhang
Cho-Jui Hsieh
Wei Zhang
Ji Liu
50
1,227
0
25 May 2017
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
Zhi Li
W. Shi
Ming Yan
49
226
0
25 Apr 2017
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Hoi-To Wai
Jean Lafond
Anna Scaglione
Eric Moulines
92
90
0
05 Dec 2016
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
Igor Colin
A. Bellet
Joseph Salmon
Stephan Clémençon
FedML
63
106
0
08 Jun 2016
Coordinate Dual Averaging for Decentralized Online Optimization with Nonseparable Global Objectives
Soomin Lee
A. Nedić
Maxim Raginsky
30
34
0
31 Aug 2015
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Zhimin Peng
Yangyang Xu
Ming Yan
W. Yin
75
258
0
08 Jun 2015
Sensor Networks with Random Links: Topology Design for Distributed Consensus
S. Kar
José M. F. Moura
430
269
0
06 Apr 2007
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