Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta +2

The theory underlying robust distributed learning algorithms, designed to resist adversarial machines, matches empirical observations when data is homogeneous. Under data heterogen…