Federated Learning on Clinical Benchmark Data: Performance Assessment.
Geun Hyeong LeeSoo-Yong ShinPublished in: Journal of medical Internet research (2020)
FL demonstrated comparative performance on different benchmark datasets. In addition, FL demonstrated reliable performance in cases where the distribution was imbalanced, skewed, and extreme, reflecting the real-life scenario in which data distributions from various hospitals are different. FL can achieve high performance while maintaining privacy protection because there is no requirement to centralize the data.