Maintaining Privacy in Face Recognition Using Federated Learning Method

Maintaining Privacy in Face Recognition Using Federated Learning Method

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

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Bibliographic Details
Main Authors: Abraham Woubie, Enoch Solomon, Joseph Attieh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Edge computation
federated learning
privacy
secure aggregator
face recognition
Online Access:https://ieeexplore.ieee.org/document/10459190/

Internet

https://ieeexplore.ieee.org/document/10459190/

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