Synthetic Data Balancing Boosts Generalization
By linking algorithmic stability with Wasserstein distance, the framework pinpoints the sweet spot for synthetic‑to‑real ratios, offering a universal guideline that can help researchers and industry teams reduce overfitting across diverse domains.