Article

NoisyFlow: Differentially Private Optimal Transport Using Neural Networks for Secure Biomedical Data Sharing

2025-02-05

Abstract excerpt

<h4>Motivation</h4> Advancing data sharing in biomedical research, particularly for sensitive genomic and clinical datasets, is crucial for improving model performance across diverse patient populations. However, stringent privacy concerns hinder collaboration and limit insights derived from multi-institutional datasets. Current approaches to privacy-preserving data sharing fail to address gaps between data distr...

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Literature Corpus work: 79514b9f-75b1-57b9-bdad-3af20aebb457
DOI: 10.1101/2025.01.31.635830

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