Federated learning in a regulator-audited secure processing environment: a multi-hospital deployment study
Background. Federated learning enables collaborative model development without transferring patient level data between institutions. However, translation into routine healthcare practice remains limited because deployment requires more than distributed model training. Federated infrastructures must operate within secur...
V. Nieminen, H. Schultze, S. Kukkurainen et al.
· medRxiv · 0 citations