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Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning
  on Heterogeneous Data

Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data

30 September 2022
Yuki Takezawa
Hang Bao
Kenta Niwa
Ryoma Sato
Makoto Yamada
ArXivPDFHTML

Papers citing "Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data"

14 / 14 papers shown
Title
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Yuan Zhou
Xinli Shi
Xuelong Li
Jiachen Zhong
G. Wen
Jinde Cao
FedML
50
0
0
17 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
Lina Wang
Yunsheng Yuan
Chunxiao Wang
Feng Li
FedML
43
0
0
31 Mar 2025
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
62
0
0
31 Jan 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
72
1
0
25 Jan 2025
ROSS:RObust decentralized Stochastic learning based on Shapley values
ROSS:RObust decentralized Stochastic learning based on Shapley values
Lina Wang
Yunsheng Yuan
Feng Li
Lingjie Duan
FedML
52
0
0
01 Nov 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
Vishnu Pandi Chellapandi
Antesh Upadhyay
Abolfazl Hashemi
Stanislaw H. .Zak
FedML
30
2
0
20 Mar 2024
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous
  Data
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
Sai Aparna Aketi
Sakshi Choudhary
Kaushik Roy
32
1
0
05 Mar 2024
An Accelerated Distributed Stochastic Gradient Method with Momentum
An Accelerated Distributed Stochastic Gradient Method with Momentum
Kun-Yen Huang
Shi Pu
Angelia Nedić
35
8
0
15 Feb 2024
Cross-feature Contrastive Loss for Decentralized Deep Learning on
  Heterogeneous Data
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
Sai Aparna Aketi
Kaushik Roy
FedML
32
2
0
24 Oct 2023
Momentum Provably Improves Error Feedback!
Momentum Provably Improves Error Feedback!
Ilyas Fatkhullin
A. Tyurin
Peter Richtárik
38
20
0
24 May 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
39
9
0
19 May 2023
Global Update Tracking: A Decentralized Learning Algorithm for
  Heterogeneous Data
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Sai Aparna Aketi
Abolfazl Hashemi
Kaushik Roy
FedML
27
12
0
08 May 2023
Communication Compression for Decentralized Learning with Operator
  Splitting Methods
Communication Compression for Decentralized Learning with Operator Splitting Methods
Yuki Takezawa
Kenta Niwa
M. Yamada
29
3
0
08 May 2022
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
Kun Yuan
Yiming Chen
Xinmeng Huang
Yingya Zhang
Pan Pan
Yinghui Xu
W. Yin
MoE
60
61
0
24 Apr 2021
1