This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (367) Data Science (270) Ethics, Privacy, and Legal Issues (479) Big Data (240)

Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12702, first published .
Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

Authors of this article:

Fida K Dankar1 Author Orcid Image ;   Nisha Madathil1 Author Orcid Image ;   Samar K Dankar2 Author Orcid Image ;   Sabri Boughorbel3 Author Orcid Image
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