MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641098720 A) filed by Vellore Institute Of Technology, Chennai on August 14, 2026, for A System And Method For Fairness Constrained Synthetic Data Generation.
Inventors include L. M. Jenila Livingston; and Afzal Ahamed Shaheena.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: A system 100 for fairness-constrained synthetic data generation 120 includes a computing device including a plurality of modules, at least one database, one or more processors coupled with a memory. The memory stores one or more instructions executable by the one or more processors to acquire at least one imbalanced structured dataset 102 to prepare a normalized input data 106 for synthetic generation; pre-process acquired dataset 106 to encode categorical features, normalize numerical variables, and compute group disparity metrics; train processed data using one or more machine learning models to minimize composite multi-objective loss function; compute fairness metrics to determine disparity for the set of trained dataset; and generate fairness-constrained synthetic dataset 120 to reduce class imbalance and demographic disparity.
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