Federated learning of predictive models from federated Electronic Health Records

•A new federated learning framework is proposed that can learn predictive models through peer-to-peer collaboration without raw data exchanges.•Using the EHR, it is possible to accurately predict heart-related hospitalizations.•The predictive model derived improves prediction accuracy over existing risk metrics.•The predictive model is sparse, identifying the most informative EHR variables for hospitalization prediction.