Federated Learning for AML: Fighting Money Laundering
Money laundering remains a critical global challenge, with financial institutions under increasing pressure to detect and prevent illicit financial activities. Traditional Anti-Money Laundering (AML) systems rely on centralized data processing, where banks and regulators aggregate transaction data to identify suspicious patterns. However, data privacy laws and competition concerns often limit......