Collaborative learning from distributed data with differentially private synthetic data

Lukas Prediger; Joonas Jälkö; Antti Honkela; Samuel Kaski

doi:10.1186/s12911-024-02563-7

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Collaborative learning from distributed data with differentially private synthetic data

Lukas Prediger Joonas Jälkö Antti Honkela Samuel Kaski

Year: 2024 Journal: BMC Medical Informatics and Decision Making Vol: 24 (1)Pages: 167-167 Publisher: BioMed Central

DOI: 10.1186/s12911-024-02563-7

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Keywords:

Biobank Pooling Computer science Health informatics Data science Synthetic data Federated learning Health data Information privacy Population Data anonymization Internet privacy Public health Artificial intelligence Medicine Health care

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Privacy, Security, and Data Protection

Social Sciences → Social Sciences → Sociology and Political Science

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Collaborative learning from distributed data with differentially private synthetic data

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