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

HIGHLIGHTS

• who: David Froelicher from the Lausanne University Cambridge, MA, USA have published the research work: Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS of 11/Oct/2021
• what: The authors present FAMHE, an approach, based on multiparty homomorphic encryption (MHE)29, to privacy-preserving FA, and the authors demonstrate its ability to enable efficient federated execution of two fundamental workflows in biomedical research: Kaplan-Meier survival analysis and genome-wide association studies (GWAS). The authors demonstrate the performance of FAMHE by replicating two published . . .
  

   

  

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