
FedPref Trains Radiology Extractors Without Sharing Data
FedPref is a federated preference-learning method for converting free-text radiology reports into structured JSON without sharing reports or annotations. Across six simulated hospitals, it improved client-mean F1 by 2.49 points and worst-site F1 by 9.10 points over isolated local training, with the largest gains at data-poor sites.





