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Expander Graph and Communication-Efficient Decentralized Optimization

Expander Graph and Communication-Efficient Decentralized Optimization

3 December 2016
Y. T. Chow
Wei Shi
Tianyu Wu
W. Yin
ArXivPDFHTML

Papers citing "Expander Graph and Communication-Efficient Decentralized Optimization"

3 / 3 papers shown
Title
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
45
226
0
15 Nov 2022
Exponential Graph is Provably Efficient for Decentralized Deep Training
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
W. Yin
FedML
41
83
0
26 Oct 2021
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition
  Sampling
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
Jianyu Wang
Anit Kumar Sahu
Zhouyi Yang
Gauri Joshi
S. Kar
29
159
0
23 May 2019
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