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A Distributed SGD Algorithm with Global Sketching for Deep Learning
  Training Acceleration

A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration

13 August 2021
Lingfei Dai
Boyu Diao
Chao Li
Yongjun Xu
ArXivPDFHTML

Papers citing "A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration"

4 / 4 papers shown
Title
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
43
23
0
20 Jul 2023
A simplified convergence theory for Byzantine resilient stochastic
  gradient descent
A simplified convergence theory for Byzantine resilient stochastic gradient descent
Lindon Roberts
E. Smyth
28
3
0
25 Aug 2022
Stochastic Nonconvex Optimization with Large Minibatches
Stochastic Nonconvex Optimization with Large Minibatches
Weiran Wang
Nathan Srebro
36
26
0
25 Sep 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
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