arXiv cs.LG
· Papers
Benchmark Evaluation of Feredated Learning on Multi-organ Images
arXiv:2607.08219v1 Announce Type: cross Abstract: The privacy requirements of medical data and its substantial variations across organs and modalities hinder the clinical implementation of medical AI. Federated learning (FL) is a feasible approach to overcome these challenges. Due to the continuous emergence of FL algo