Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

<jats:title>Abstract</jats:title><jats:p>Using real-world evidence in biomedical research, an indispensable complement to clinical trials, requires access to large quantities of patient data that are typically held separately by multiple healthcare institutions. We propose FAMHE, a...

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Manylion Llyfryddiaeth
Prif Awduron: Froelicher, David, Troncoso-Pastoriza, Juan R, Raisaro, Jean Louis, Cuendet, Michel A, Sousa, Joao Sa, Cho, Hyunghoon, Berger, Bonnie, Fellay, Jacques, Hubaux, Jean-Pierre
Awduron Eraill: Massachusetts Institute of Technology. Department of Mathematics
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Springer Science and Business Media LLC 2022
Mynediad Ar-lein:https://hdl.handle.net/1721.1/145592

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https://hdl.handle.net/1721.1/145592

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