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VALORIS: A privacy-aware logistic regression method for vertically partitioned data within a novel privacy risk assessment framework

2025-07-21

Abstract excerpt

<title>Abstract</title> <p>Life sciences research 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 data often cannot be shared across organizations holding them. As a result, they cannot be pooled, and analyses must be conducted within the framework of vertically partitione...

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Literature Corpus work
24fd6115-6c00-5451-ae39-5a8fa6193e86
DOI
10.21203/rs.3.rs-7110391/v1
Open publication

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VALORIS: A privacy-aware logistic regression method for vertically partitioned data within a novel privacy risk assessment frameworkDOI 10.21203/rs.3.rs-7110391/v1
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