PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization

In three linesPSyGenTAB is a privacy-preserving framework for synthetic clinical tabular data generation formulated as constrained optimization solved via Augmented Lagrangian Method. It embeds configurable privacy constraints into training to preserve inter-feature clinical relationships and minority-class patterns while maintaining data utility for medical AI applications.

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