3 papers
cs.LG2026
A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update
Anne-Christin Hauschild, Amirreza Aleyasin, Nils H. Beyer +12
While a centralized approach involving patient consent to collect and analyze data centrally would theoretically offer the best data quality and predictive performance, it is not a…
cs.LG2026
FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification
Maryam Moradpour, Anne-Christin Hauschild
Artificial intelligence models are promising for medical diagnosis, but they require large numbers of unbiased data, which in medicine are distributed across hospitals and cannot b…
cs.LG2026
FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
Maryam Moradpour, Jonas Harriehausen, Amirreza Aleyasin +3
Multi-center survival prediction can improve robustness and generalizability, yet privacy regulations and institutional governance often prevent pooling patient-level clinical and…