Runxi Wang

FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning

Federated learning (FL) is a powerful technology that enables collaborative training of machine learning models without sharing private data among clients. The fundamental challenge in FL lies in learning over extremely heterogeneous data distributions device capacities and device state availabiliti…