A simple demonstration of a privacy-preserving de-centralised genotype imputation workflow
Alban Letaillandier, David Picard Druet, Thomas E Ludwig, Gaëlle Marenne, Anthony F. Herzig
The paper demonstrates a privacy-preserving decentralized genotype imputation workflow using a federated approach, showing it can protect sensitive data while enabling imputation on plain-text files.
PLoS ONE · Aug 20, 2026Peer-reviewedGenetics