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DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning
  Models

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models

11 April 2024
Nastaran Saadati
Minh Pham
Nasla Saleem
Joshua R. Waite
Aditya Balu
Zhanhong Jiang
Chinmay Hegde
Soumik Sarkar
    MoMe
ArXivPDFHTML

Papers citing "DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models"

4 / 4 papers shown
Title
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
239
313
0
11 Sep 2022
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on
  Communication Efficiency and Trustworthiness
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Yuwei Sun
H. Ochiai
Hiroshi Esaki
FedML
64
44
0
30 Jul 2021
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
46
60
0
24 Apr 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
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