On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks

Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini +2

Federated Learning (FL) allows multiple privacy-sensitive applications to leverage their dataset for a global model construction without any disclosure of the information. One of t…