Second-Order Optimization

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers
Second-order optimization methods have been developed to enhance convergence and generalization in deep neural network (DNN) training …
Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
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