An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging

Liangqiong Qu, Niranjan Balachandar, Daniel L Rubin

Federated learning enables multiple institutions to collaboratively train machine learning models on their local data in a privacy-preserving way. However, its distributed nature o…