S. Sambasivam

Federated Machine Learning Outperforms Centralized Machine Learning for Fraud Detection: Evidence From 284,807 Real-World Transactions

This research challenges the assumption that centralized learning out-performs federated approaches, providing the first comprehensive empirical comparison showing FML superiority on real-world fraud data.