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Optimal Complexity in Decentralized Training

Optimal Complexity in Decentralized Training

15 June 2020
Yucheng Lu
Christopher De Sa
ArXivPDFHTML

Papers citing "Optimal Complexity in Decentralized Training"

13 / 13 papers shown
Title
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Tingyang Sun
Tuan Nguyen
Ting He
33
0
0
16 Apr 2025
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
14
0
0
09 Oct 2024
Variance-reduced accelerated methods for decentralized stochastic
  double-regularized nonconvex strongly-concave minimax problems
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball
Yangyang Xu
10
7
0
14 Jul 2023
Distributed Random Reshuffling Methods with Improved Convergence
Distributed Random Reshuffling Methods with Improved Convergence
Kun-Yen Huang
Linli Zhou
Shi Pu
17
4
0
21 Jun 2023
Beyond Exponential Graph: Communication-Efficient Topologies for
  Decentralized Learning via Finite-time Convergence
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
M. Yamada
24
9
0
19 May 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
26
7
0
12 May 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
21
10
0
20 Feb 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with
  Improved Convergence
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
Kun-Yen Huang
Shin-Yi Pu
19
9
0
14 Jan 2023
Distributed Random Reshuffling over Networks
Distributed Random Reshuffling over Networks
Kun-Yen Huang
Xiao Li
Andre Milzarek
Shi Pu
Junwen Qiu
25
11
0
31 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
6
9
0
19 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
26
414
0
24 Nov 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
10
57
0
19 Oct 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
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