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Differential Privacy Synthetic Tabular Data Generation for Federated Learning

2026-08-26

Abstract excerpt

Machine learning in healthcare struggles for one main reason: good data is hard to come by. Medical records are sensitive, and the rules on sharing them between hospitals are strict. A common workaround is synthetic data, that is artificial records that copy the statistics of real ones; however, on its own, it offers no real privacy guarantee, and earlier studies show it can still leak details about the patients b...

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Literature Corpus work
c3696561-d122-5919-9332-d56b08fd7d40
DOI
10.20944/preprints202608.1914.v1
Open publication

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Differential Privacy Synthetic Tabular Data Generation for Federated LearningDOI 10.20944/preprints202608.1914.v1
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