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Ing. Roman Danel

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Open access Aug 2026

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...

Ing. Roman Danel · 0 citations

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