Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

Abstract

FedAvg can significantly improve the generalization of the model compared to other personalization FL algorithms; however, at the cost of poor internal validity. Personalized FL may offer an opportunity to develop both internal and externally validated algorithms.