Addressing Heterogeneity in Federated Learning via Distributional Transformation

Haolin Yuan, Bo Hui, Yuchen Yang +3

Federated learning (FL) allows multiple clients to collaboratively train a deep learning model. One major challenge of FL is when data distribution is heterogeneous, i.e., differs…