Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning

Pengzhan Guo, Zeyang Ye, Keli Xiao +1

This paper investigates the stochastic optimization problem with a focus on developing scalable parallel algorithms for deep learning tasks. Our solution involves a reformation of…