Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity

Zhuang Qi, Lei Meng, Ruohan Zhang +5

Federated learning benefits from cross-training strategies, which enables models to train on data from distinct sources to improve generalization capability. However, due to inhere…