Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
Abstract Background Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population. It enables medical research algorithms to be securely deployed in the cl...
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BMC,
2020-07-01T00:00:00Z.
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