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Federated Learning on Clinical Benchmark Data: Performance Assessment
134
Zitationen
2
Autoren
2020
Jahr
Abstract
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.
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