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Found 2 papers, 2 papers with code
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
As the first federated dataset similarity metric, we believe this metric can better facilitate successful collaborations between sites.
Privacy-preserving patient clustering for personalized federated learning
In this study, we propose Privacy-preserving Community-Based Federated machine Learning (PCBFL), a novel Clustered FL framework that can cluster patients using patient-level data while protecting privacy.
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