Dharmendra Kumar

A privacy-preserving federated deep learning framework for real-time fraud detection in decentralized financial systems

The rapid growth of decentralized financial systems has introduced sophisticated fraud that conventional detection methods struggle to identify, due to fragmented data, strict privacy regulations, and the need for real-time response. This study proposes Federated Differentially Private Fraud Detection (FedDP-FD), a pri...