Fig 1 -

Pipeline for model training and evaluation using synthetic data (1) We generate Synthetic datasets for model training and model testing utilizing differentially private synthesizers. (2) We train models utilizing differentially private synthetic data and evaluate on a differentially private synthetic test data. Model selection is made during this phase. (3) Based on the previous phase results, model is trained using synthetic data and deployed. Model is applied to real (test) data in production phase.