LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression

7 March 2024

Papers citing "LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression"

8 / 8 papers shown

Title
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning Karlo Palenzuela Ali Dadras A. Yurtsever Tommy Löfstedt FedML 30 0 0 27 Mar 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity Dmitry Bylinkin Aleksandr Beznosikov 67 1 0 21 Dec 2024
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression Kaja Gruntkowska A. Tyurin Peter Richtárik 36 18 0 30 Sep 2022
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization A. Tyurin Peter Richtárik 29 17 0 02 Feb 2022
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin Igor Sokolov Eduard A. Gorbunov Zhize Li Peter Richtárik 42 44 0 07 Oct 2021
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 167 410 0 14 Jul 2021
Linearly Converging Error Compensated SGD Eduard A. Gorbunov D. Kovalev Dmitry Makarenko Peter Richtárik 155 77 0 23 Oct 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 151 756 0 28 Sep 2019