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. 1912.09268
  4. Cited By
MG-WFBP: Merging Gradients Wisely for Efficient Communication in
  Distributed Deep Learning

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

18 December 2019
S. Shi
Xiaowen Chu
Bo Li
    FedML
ArXivPDFHTML

Papers citing "MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning"

1 / 1 papers shown
Title
Accelerating Distributed K-FAC with Smart Parallelism of Computing and
  Communication Tasks
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
S. Shi
Lin Zhang
Bo-wen Li
40
9
0
14 Jul 2021
1