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On the Influence of Bias-Correction on Distributed Stochastic
  Optimization

On the Influence of Bias-Correction on Distributed Stochastic Optimization

26 March 2019
Kun Yuan
Sulaiman A. Alghunaim
Bicheng Ying
Ali H. Sayed
ArXivPDFHTML

Papers citing "On the Influence of Bias-Correction on Distributed Stochastic Optimization"

15 / 15 papers shown
Title
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu
Xi Chen
Weidong Liu
Xiaojun Mao
67
0
0
31 Jan 2025
Distributed Random Reshuffling Methods with Improved Convergence
Distributed Random Reshuffling Methods with Improved Convergence
Kun-Yen Huang
Linli Zhou
Shi Pu
24
4
0
21 Jun 2023
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Yutong He
Xinmeng Huang
Yiming Chen
W. Yin
Kun Yuan
36
7
0
12 May 2023
Distributed Stochastic Optimization under a General Variance Condition
Distributed Stochastic Optimization under a General Variance Condition
Kun-Yen Huang
Xiao Li
Shin-Yi Pu
FedML
45
6
0
30 Jan 2023
Networked Signal and Information Processing
Networked Signal and Information Processing
Stefan Vlaski
S. Kar
Ali H. Sayed
José M. F. Moura
49
16
0
25 Oct 2022
On the Performance of Gradient Tracking with Local Updates
On the Performance of Gradient Tracking with Local Updates
Edward Duc Hien Nguyen
Sulaiman A. Alghunaim
Kun Yuan
César A. Uribe
48
19
0
10 Oct 2022
Data-heterogeneity-aware Mixing for Decentralized Learning
Data-heterogeneity-aware Mixing for Decentralized Learning
Yatin Dandi
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
43
18
0
13 Apr 2022
Distributed Random Reshuffling over Networks
Distributed Random Reshuffling over Networks
Kun-Yen Huang
Xiao Li
Andre Milzarek
Shi Pu
Junwen Qiu
39
11
0
31 Dec 2021
Distributed Sparse Regression via Penalization
Distributed Sparse Regression via Penalization
Yao Ji
G. Scutari
Ying Sun
Harsha Honnappa
24
5
0
12 Nov 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
W. Yin
FedML
44
83
0
26 Oct 2021
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
47
57
0
19 Oct 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex
  Optimization
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin
U. Khan
S. Kar
33
39
0
12 Feb 2021
An improved convergence analysis for decentralized online stochastic
  non-convex optimization
An improved convergence analysis for decentralized online stochastic non-convex optimization
Ran Xin
U. Khan
S. Kar
44
100
0
10 Aug 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
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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