2026
Accelerated Dual Method for Distributed Optimization: An Inexact-Gradient View of Local Updates
ICML 2026poster
In distributed machine learning, efficiently training across multiple agents with heterogeneous data distributions remains a central challenge. We address the problem of stochastic, strongly convex distributed optimization by applying accelerated gradient ascent to the dual variables and multi-step …