Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion

Xu Zhou, Xinyu Lei, Cong Yang +3

Federated learning (FL) supports distributed training of a global machine learning model across multiple devices with the help of a central server. However, data heterogeneity acro…