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SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction
  for Non-convex Cross-Device Federated Learning

SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning

30 May 2024
Avetik G. Karagulyan
Egor Shulgin
Abdurakhmon Sadiev
Peter Richtárik
    FedML
ArXivPDFHTML

Papers citing "SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning"

6 / 6 papers shown
Title
On the Convergence of FedProx with Extrapolation and Inexact Prox
On the Convergence of FedProx with Extrapolation and Inexact Prox
Hanmin Li
Peter Richtárik
FedML
22
0
0
02 Oct 2024
Stabilized Proximal-Point Methods for Federated Optimization
Stabilized Proximal-Point Methods for Federated Optimization
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
36
1
0
09 Jul 2024
Faster federated optimization under second-order similarity
Faster federated optimization under second-order similarity
Ahmed Khaled
Chi Jin
FedML
45
17
0
06 Sep 2022
Permutation Compressors for Provably Faster Distributed Nonconvex
  Optimization
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafal Szlendak
A. Tyurin
Peter Richtárik
113
35
0
07 Oct 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
167
358
0
14 Jul 2021
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
57
317
0
18 Feb 2014
1