Moshood Sorinola

Privacy-Preserving Federated Artificial Intelligence for Cross-Institutional Anti-Money Laundering Detection in the United States: A Review

Money laundering moves an estimated 2%-5% of global gross domestic product through the financial system each year. Its central tactic, layering funds across multiple institutions, limits detection because each bank observes only part of the transaction chain. Machine learning has improved single-institution transaction...