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A Linearly Convergent Proximal Gradient Algorithm for Decentralized
  Optimization

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization

20 May 2019
Sulaiman A. Alghunaim
Kun Yuan
Ali H. Sayed
ArXivPDFHTML

Papers citing "A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization"

14 / 14 papers shown
Title
Decentralized Sum-of-Nonconvex Optimization
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu
K. H. Low
21
0
0
04 Feb 2024
Dynamic Privacy Allocation for Locally Differentially Private Federated
  Learning with Composite Objectives
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives
Jiaojiao Zhang
Dominik Fay
M. Johansson
FedML
34
4
0
02 Aug 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic
  Composite Optimization
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization
Tesi Xiao
Xuxing Chen
Krishnakumar Balasubramanian
Saeed Ghadimi
38
10
0
20 Feb 2023
A Unified and Refined Convergence Analysis for Non-Convex Decentralized
  Learning
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim
Kun Yuan
44
57
0
19 Oct 2021
Decentralized Composite Optimization with Compression
Decentralized Composite Optimization with Compression
Yao Li
Xiaorui Liu
Jiliang Tang
Ming Yan
Kun Yuan
29
9
0
10 Aug 2021
PMGT-VR: A decentralized proximal-gradient algorithmic framework with
  variance reduction
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction
Haishan Ye
Wei Xiong
Tong Zhang
16
16
0
30 Dec 2020
A Linearly Convergent Algorithm for Decentralized Optimization: Sending
  Less Bits for Free!
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
D. Kovalev
Anastasia Koloskova
Martin Jaggi
Peter Richtárik
Sebastian U. Stich
31
73
0
03 Nov 2020
Periodic Stochastic Gradient Descent with Momentum for Decentralized
  Training
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training
Hongchang Gao
Heng-Chiao Huang
23
25
0
24 Aug 2020
Distributed Algorithms for Composite Optimization: Unified Framework and
  Convergence Analysis
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
Jinming Xu
Ye Tian
Ying Sun
G. Scutari
33
64
0
25 Feb 2020
Gradient tracking and variance reduction for decentralized optimization
  and machine learning
Gradient tracking and variance reduction for decentralized optimization and machine learning
Ran Xin
S. Kar
U. Khan
19
10
0
13 Feb 2020
On linear convergence of two decentralized algorithms
On linear convergence of two decentralized algorithms
Yao Li
Ming Yan
19
7
0
17 Jun 2019
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
A Fast Distributed Proximal-Gradient Method
A Fast Distributed Proximal-Gradient Method
Annie I. Chen
Asuman Ozdaglar
68
146
0
08 Oct 2012
Distributed Pareto Optimization via Diffusion Strategies
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen
Ali H. Sayed
71
174
0
13 Aug 2012
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