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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d090c8b3fe944cd0bb0ec76ed369ea66

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2021-10, Vol.12 (1), p.5910-5910, Article 5910

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 novel federated analytics system that, based on multiparty homomorphic encryption (MHE), enables privacy-pre...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d090c8b3fe944cd0bb0ec76ed369ea66

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d090c8b3fe944cd0bb0ec76ed369ea66

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-021-25972-y

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