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2306.03163
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How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
5 June 2023
Alexander Isenko
R. Mayer
Hans-Arno Jacobsen
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ArXiv
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Papers citing
"How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study"
4 / 4 papers shown
Title
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
Haoyang Li
Fangcheng Fu
Hao Ge
Sheng Lin
Xuanyu Wang
Jiawen Niu
Yufei Wang
Hailin Zhang
Xiaonan Nie
Bin Cui
MoMe
41
2
0
17 Oct 2024
Towards providing reliable job completion time predictions using PCS
Abdullah Bin Faisal
Noah Martin
Hafiz Mohsin Bashir
Swaminathan Lamelas
Fahad R. Dogar
22
0
0
18 Jan 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training
Herbert Woisetschläger
Alexander Isenko
Shiqiang Wang
R. Mayer
Hans-Arno Jacobsen
FedML
65
24
0
09 Jan 2024
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
177
417
0
18 Jan 2021
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