Federated Learning Method for Preserving Privacy in Face Recognition System

The state-of-the-art face recognition systems are typically trained on a single computer, utilizing extensive image datasets collected from various number of users. However, these datasets often contain sensitive personal information that users may hesitate to disclose. To address potential privacy...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Solomon, Enoch, Woubie, Abraham
Format:	Artikel
Sprache:	eng
Schlagworte:	Data transmission Datasets Face recognition Facial recognition technology Federated learning Generative adversarial networks Machine learning Privacy Servers
Online-Zugang:	Volltext
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