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SPAN: A Stochastic Projected Approximate Newton Method
Second-order optimization methods have desirable convergence properties....
02/10/2020 ∙ by Xunpeng Huang, et al. ∙
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Variance Reduced Local SGD with Lower Communication Complexity
To accelerate the training of machine learning models, distributed stoch...
12/30/2019 ∙ by Xianfeng Liang, et al. ∙
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Long-term Joint Scheduling for Urban Traffic
Recently, the traffic congestion in modern cities has become a growing w...
10/27/2019 ∙ by Xianfeng Liang, et al. ∙
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Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
With the increase in the amount of data and the expansion of model scale...
06/28/2019 ∙ by Shuheng Shen, et al. ∙
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