Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos

Organizations seek analytical value from AI, yet relevant data are often fragmented across organizations and constrained by privacy. This is acute in financial fraud detection, where rare fraud cases and imbalanced local datasets limit decision-relevant analytics. Federated learning enables collabor