arxivcs.CVcs.LG2026-07-09
Benchmark Evaluation of Feredated Learning on Multi-organ Images
Junbin Mao, Xu Tian, Jianchun Zhu, Ludi Li, Jin Liu
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 algorithms and…