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Communication-Efficient Topologies for Decentralized Learning with
  $O(1)$ Consensus Rate

Communication-Efficient Topologies for Decentralized Learning with O(1)O(1)O(1) Consensus Rate

14 October 2022
Zhuoqing Song
Weijian Li
Kexin Jin
Lei Shi
Ming Yan
W. Yin
Kun Yuan
ArXivPDFHTML

Papers citing "Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate"

19 / 19 papers shown
Title
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
47
0
0
24 Apr 2025
Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time
Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time
Runze You
Shi Pu
44
0
0
20 Mar 2025
Accelerating MoE Model Inference with Expert Sharding
Oana Balmau
Anne-Marie Kermarrec
Rafael Pires
André Loureiro Espírito Santo
M. Vos
Milos Vujasinovic
MoE
74
0
0
11 Mar 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
72
1
0
25 Jan 2025
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
93
0
0
02 Dec 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation
Boosting Asynchronous Decentralized Learning with Model Fragmentation
Sayan Biswas
Anne-Marie Kermarrec
Alexis Marouani
Rafael Pires
Rishi Sharma
M. Vos
30
1
0
16 Oct 2024
DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks
DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks
Eunjeong Jeong
Marios Kountouris
33
0
0
19 Jun 2024
Estimation Network Design framework for efficient distributed
  optimization
Estimation Network Design framework for efficient distributed optimization
M. Bianchi
Sergio Grammatico
28
0
0
23 Apr 2024
Federated Learning Can Find Friends That Are Advantageous
Federated Learning Can Find Friends That Are Advantageous
N. Tupitsa
Samuel Horváth
Martin Takávc
Eduard A. Gorbunov
FedML
49
2
0
07 Feb 2024
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
He Wang
Yuejie Chi
FedML
44
2
0
30 Nov 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized
  Communication
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
M. Vos
Sadegh Farhadkhani
R. Guerraoui
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
31
15
0
03 Oct 2023
Structured Cooperative Learning with Graphical Model Priors
Structured Cooperative Learning with Graphical Model Priors
Shuang-Yang Li
Dinesh Manocha
Xinmei Tian
Dacheng Tao
38
0
0
16 Jun 2023
Decentralized Multi-Level Compositional Optimization Algorithms with
  Level-Independent Convergence Rate
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate
Hongchang Gao
29
0
0
06 Jun 2023
Decentralized SGD and Average-direction SAM are Asymptotically
  Equivalent
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Tongtian Zhu
Fengxiang He
Kaixuan Chen
Mingli Song
Dacheng Tao
34
15
0
05 Jun 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus
  Algorithm
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
Lisang Ding
Kexin Jin
Bicheng Ying
Kun Yuan
W. Yin
24
9
0
01 Jun 2023
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
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
M. Yamada
44
9
0
19 May 2023
Decentralized Learning Made Practical with Client Sampling
Decentralized Learning Made Practical with Client Sampling
M. Vos
Akash Dhasade
Anne-Marie Kermarrec
Erick Lavoie
J. Pouwelse
Rishi Sharma
31
1
0
27 Feb 2023
BlueFog: Make Decentralized Algorithms Practical for Optimization and
  Deep Learning
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
Bicheng Ying
Kun Yuan
Hanbin Hu
Yiming Chen
W. Yin
FedML
44
27
0
08 Nov 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying
  Networks
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
D. Kovalev
Egor Shulgin
Peter Richtárik
Alexander Rogozin
Alexander Gasnikov
ODL
35
31
0
18 Feb 2021
1