Federated Learning For Fraud Detection: A Review
Fraud detection in banking and payments depends on learning from transaction data that institutions are often unable or unwilling to pool, because of privacy, regulatory, competitive, and security constraints. Federated learning (FL) offers an alternative in which institutions train a shared model by exchanging model u...