Logistic regression over encrypted data from fully homomorphic encryption
Logistic regression over encrypted data from fully homomorphic encryption
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Publisher
England: BioMed Central
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Language
English
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Publisher
England: BioMed Central
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Contents
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 specific mutations, the idea was for the data holder to encrypt the records...
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Full title
Logistic regression over encrypted data from fully homomorphic encryption
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TN_cdi_doaj_primary_oai_doaj_org_article_cd2455da1f2944fbba17d2fb9d7c1c20
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cd2455da1f2944fbba17d2fb9d7c1c20
Other Identifiers
ISSN
1755-8794
E-ISSN
1755-8794
DOI
10.1186/s12920-018-0397-z
