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. 2305.11420
  4. Cited By
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

19 May 2023
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
M. Yamada
ArXivPDFHTML

Papers citing "Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence"

5 / 5 papers shown
Title
Accelerating MoE Model Inference with Expert Sharding
Oana Balmau
Anne-Marie Kermarrec
Rafael Pires
André Loureiro Espírito Santo
M. Vos
Milos Vujasinovic
MoE
69
0
0
11 Mar 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
66
1
0
25 Jan 2025
From promise to practice: realizing high-performance decentralized
  training
From promise to practice: realizing high-performance decentralized training
Zesen Wang
Jiaojiao Zhang
Xuyang Wu
M. Johansson
23
0
0
15 Oct 2024
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
55
61
0
24 Apr 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
67
85
0
23 Oct 2020
1