A framework that generates tabular synthetic data by partitioning columns, training separate generative models, and joining the outputs with a learned validator improves empirical privacy while keeping utility competitive.
European Medicines Agency
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Disjoint Generation of Synthetic Data
A framework that generates tabular synthetic data by partitioning columns, training separate generative models, and joining the outputs with a learned validator improves empirical privacy while keeping utility competitive.