Logistic regression over encrypted data from fully homomorphic encryption

Logistic regression over encrypted data from fully homomorphic encryption

Abstract Background One of the tasks in the 2017 iDASH secure genome analysis competition was to enable training of logistic regression models over encrypted genomic data. More precisely, given a list of approximately 1500 patient records, each with 18 binary features containing information on speci...

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Váldodahkkit: Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin Lauter
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: BMC 2018-10-01
Ráidu:BMC Medical Genomics
Fáttát:
Cryptography
Homomorphic encryption
Logistic regression
Liŋkkat:http://link.springer.com/article/10.1186/s12920-018-0397-z

Interneahtta

http://link.springer.com/article/10.1186/s12920-018-0397-z

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