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Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
Cardiovascular disease risk prediction models often rely on data from a single institution or centrally pooled datasets. Extending these models across institutions could be limited by privacy regulations and constraints on sharing patient-level data. Federated learning enables collaborative model de
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