Article

Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic Encryption

2021-02-25

Abstract excerpt

<h4>ABSTRACT</h4> 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. Centralizing those data for a study is often infeasible due to privacy and security concerns. Federated analytics is rapidly emerging as a solution for enabling joint analyses...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7c45ef7c-d559-5375-8514-968ab0e70f6b
DOI: 10.1101/2021.02.24.432489

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic EncryptionDOI 10.1101/2021.02.24.432489Read

MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data.Semantic proximity Read

COLLAGENE enables privacy-aware federated and collaborative genomic data analysis.Semantic proximity Read

NoisyFlow: Differentially Private Optimal Transport Using Neural Networks for Secure Biomedical Data SharingSemantic proximity Read

Privacy Risk Assessment Frameworks for Large-Scale Medical Datasets Using Computational MetricsSemantic proximity Read

Homomorphic encryption enables privacy preserving polygenic risk scores.Semantic proximity Read

Secure large-scale genome-wide association studies using homomorphic encryption.Semantic proximity Read

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

Differentially Private Distributed Inference for Multicenter Clinical StudiesSemantic proximity Read

Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data.Semantic proximity Read

Genomic privacy preservation in genome-wide association studies: taxonomy, limitations, challenges, and visionSemantic proximity Read

FedVQC for Genomic Data: A Quantum-Enhanced Privacy ApproachSemantic proximity Read

Homomorphic Encryption: An Application to Polygenic Risk ScoresSemantic proximity Read