90 citations · 96 across the 7 of their papers we have counts for
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cs.LG2019★ 90 cited
Variance Reduced Local SGD with Lower Communication Complexity
Xianfeng Liang, Shuheng Shen, Jingchang Liu +3
To accelerate the training of machine learning models, distributed stochastic gradient descent (SGD) and its variants have been widely adopted, which apply multiple workers in para…
cs.LG2019★ 4 cited
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu +2
With the increase in the amount of data and the expansion of model scale, distributed parallel training becomes an important and successful technique to address the optimization ch…