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Truly privacy-preserving federated analytics for precision ..:
Froelicher, David
;
Troncoso-Pastoriza, Juan R.
;
Raisaro, Jean Louis
...
Nature Communications. 12 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1038/s41467-021-25972-y
RT Journal T1
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41467-021-25972-y&Exemplar=1&LAN=DE A1 Froelicher, David A1 Troncoso-Pastoriza, Juan R. A1 Raisaro, Jean Louis A1 Cuendet, Michel A. A1 Sousa, Joao Sa A1 Cho, Hyunghoon A1 Berger, Bonnie A1 Fellay, Jacques A1 Hubaux, Jean-Pierre PB Springer Science and Business Media LLC YR 2021 SN 2041-1723 JF Nature Communications VO 12 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s41467-021-25972-y DO https://doi.org/10.1038/s41467-021-25972-y SF ELIB - SuUB Bremen
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