Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data

Feifei Wang, Huiyun Tang, Yang Li

Federated learning is an emerging distributed machine learning framework aiming at protecting data privacy. Data heterogeneity is one of the core challenges in federated learning,…