Article

PPML-Omics: a Privacy-Preserving federated Machine Learning method protects patients’ privacy in omic data

2022-03-27

Abstract excerpt

Modern machine learning models towards various tasks with omic data analysis give rise to threats of privacy leakage of patients involved in those datasets. Despite the advances in different privacy technologies, existing methods tend to introduce too much computational cost (e.g. cryptographic methods) or noise (e.g. differential privacy), which hampers either model usefulness or accuracy in protecting privacy in...

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Identifiers and source

Literature Corpus work: 46a92545-501c-5af6-b655-0ab8f0a6dd37
DOI: 10.1101/2022.03.23.485485

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