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VALORIS: One-shot and lossless vertical logistic regression for privacy-protecting multi-site health analytics

2025-12-04

Abstract excerpt

<title>Abstract</title> <p>Health analytics increasingly relies on variables held by different entities, such as clinical, laboratory, environmental, and genomic data. Due to legal, ethical, and social acceptability constraints, these vertically partitioned data often cannot be shared across organizations holding them. Conducting statistical analyses in such settings requires methods that protect privacy. We intr...

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Literature Corpus work
0e25e16d-8447-5788-a514-eba75966ccc5
DOI
10.21203/rs.3.rs-7973226/v1
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VALORIS: One-shot and lossless vertical logistic regression for privacy-protecting multi-site health analyticsDOI 10.21203/rs.3.rs-7973226/v1
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