2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
ICML 2022spotlight
We develop a general framework unifying several gradient-based stochastic optimization methods for empirical risk minimization problems both in centralized and distributed scenarios. The framework hinges on the introduction of an augmented graph consisting of nodes modeling the samples and edges mod…