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cs.DC2021★ 1 cited
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient
Xiaoge Deng, Dongsheng Li, Tao Sun +1
Gradient-based optimization methods implemented on distributed computing architectures are increasingly used to tackle large-scale machine learning applications. A key bottleneck i…
stat.ML2021
Stability and Generalization of the Decentralized Stochastic Gradient Descent
Tao Sun, Dongsheng Li, Bao Wang
The stability and generalization of stochastic gradient-based methods provide valuable insights into understanding the algorithmic performance of machine learning models. As the ma…