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A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences

1 Mar 2025

Abstract excerpt

The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature of the medical data, the TMID technique of transferring the patient's data to the central machine or server may create severe privacy and security issues. In recent years, the progression of deep federated learning (DFL) and...

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PMID: 40025035
DOI: 10.1038/s41598-025-89612-x

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