A Federated Deep Learning Framework for Privacy-Preserving Digital Identity Anomaly Detection in Distributed Networks
The increasing use of distributed digital services has created significant challenges in detecting identity anomalies while protecting sensitive user information. This study develops a federated deep learning framework for privacy-preserving digital identity anomaly detection in distributed networks. The research focus...