Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic Encryption
David Froelicher, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Michel A. Cuendet, João Sá Sousa, Hyunghoon Cho, Bonnie Berger, Jacques Fellay, Jean‐Pierre Hubaux
The paper introduces FAMHE, a privacy-preserving federated analytics system using multiparty homomorphic encryption, enabling accurate analysis of distributed medical data without sharing patient-level information.
Nature Communications · Oct 11, 2021Peer-reviewedBioinformatics