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Distributed stochastic gradient tracking algorithm with variance
  reduction for non-convex optimization

Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

28 June 2021
Xia Jiang
Xianlin Zeng
Jian Sun
Jie Chen
ArXivPDFHTML

Papers citing "Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization"

5 / 5 papers shown
Title
Adaptive Weighting Push-SUM for Decentralized Optimization with
  Statistical Diversity
Adaptive Weighting Push-SUM for Decentralized Optimization with Statistical Diversity
Yiming Zhou
Yifei Cheng
Linli Xu
Enhong Chen
69
0
0
10 Dec 2024
Single Point-Based Distributed Zeroth-Order Optimization with a
  Non-Convex Stochastic Objective Function
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna
Mohamad Assaad
59
4
0
08 Oct 2024
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact
  and Exact Methods
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
Mou Wu
Haibin Liao
Zhengtao Ding
Yonggang Xiao
31
2
0
05 Mar 2024
Zero-Order One-Point Estimate with Distributed Stochastic
  Gradient-Tracking Technique
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique
Elissa Mhanna
Mohamad Assaad
33
4
0
11 Oct 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized
  SGD with Sample-induced Topology
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang
Ying Sun
Zehan Zhu
Changzhi Yan
Jinming Xu
FedML
35
15
0
08 Jul 2022
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