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Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed
  ML Training

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training

9 March 2023
W. Tan
Xiao Shi
Cunchi Lv
Xiaofang Zhao
    FedML
ArXivPDFHTML

Papers citing "Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training"

2 / 2 papers shown
Title
Nebula-I: A General Framework for Collaboratively Training Deep Learning
  Models on Low-Bandwidth Cloud Clusters
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Yang Xiang
Zhihua Wu
Weibao Gong
Siyu Ding
Xianjie Mo
...
Yue Yu
Ge Li
Yu Sun
Yanjun Ma
Dianhai Yu
19
4
0
19 May 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
1