Federated Rule Ensemble Method in Medical Data

ArXi:2604.17956v1 Announce Type: new Machine learning has become integral to medical research and is increasingly applied in clinical settings to diagnosis and decision-making; however, its effectiveness depends on access to large, diverse datasets, which are limited within single institutions. Although integrating data across institutions can address this limitation, privacy regulations and data ownership constraints hinder these efforts. Federated learning enables collaborative model