FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data

ArXi:2605.22954v1 Announce Type: new Multi-center survival prediction can improve robustness and generalizability, yet privacy regulations and institutional governance often prevent pooling patient-level clinical and genomic data across institutions. In practice, deployment is further complicated by feature-space heterogeneity, in which sites collect different covariates or use different sequencing panels, resulting in only partially overlapping feature sets.