Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients

Qing Xu, Yiwei Liao, Wenqi Fan +2

Decentralized stochastic optimization has emerged as a fundamental paradigm for large-scale machine learning. However, practical implementations often rely on biased gradient estim…