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FedDHS-Synth: A Federated Differentially Private Framework for Synthetic Vaccination Survey Data Generation in South Asia

Domaine:

healthcare

Type de record:

software
Créateur:
Sha
Éditeur:
Cod
Hôte:avatar
FedDHS-Synth is a federated differentially private framework that generates synthetic childhood vaccination survey data from Bangladesh and Pakistan DHS microdata without centralising sensitive records. Synthetic data retains 98.9% of downstream predictive utility while membership inference attacks confirm near-random privacy leakage (AUC 0.51), enabling privacy-preserving multi-country public health research in low-resource settings.

Visit

doi.orgcodeocean.com

Tags

CapsuleBioinformaticsFOS: Computer and information sciencesfederated learningsynthetic dataDHS

Licenses

MIT Licensehttps://opensource.org/licenses/MITNo Rights Reserved (CC0)https://creativecommons.org/share-your-work/public-domain/cc0/

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