ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.09269
  4. Cited By
M22: A Communication-Efficient Algorithm for Federated Learning Inspired
  by Rate-Distortion

M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion

23 January 2023
Yangyi Liu
Stefano Rini
Sadaf Salehkalaibar
Jun Chen
    FedML
ArXivPDFHTML

Papers citing "M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion"

3 / 3 papers shown
Title
Improved Quantization Strategies for Managing Heavy-tailed Gradients in
  Distributed Learning
Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning
Guangfeng Yan
Tan Li
Yuanzhang Xiao
Hanxu Hou
Linqi Song
MQ
24
0
0
02 Feb 2024
Communication-Efficient Federated Learning over Capacity-Limited
  Wireless Networks
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks
Jae-Bok Yun
Yong-Nam Oh
Yo-Seb Jeon
H. Vincent Poor
20
2
0
20 Jul 2023
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
89
35
0
16 Feb 2021
1