arxiv
PublishedJuly 10, 2026 at 4:00 AM
—neutral
Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
Publisher summary· verbatim
arXiv:2607.08595v1 Announce Type: new Abstract: 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. F
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Originally published on arxiv ↗