Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...
Abstract: This paper focuses on Byzantine-resilient distributed optimization, aiming to minimize non-smooth strongly convex cost functions of healthy agents in adversarial environments. Therein, an ...