Federated Learning on Clinical Benchmark Data: Performance Assessment.

Published 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.

Keyphrases

big data
electronic health record
healthcare
machine learning
climate change
data analysis
social media