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Updates on Federated Learning part3(AI 2024)
- Ensuring driver readiness poses challenges, and driver monitoring systems can help determine the driver's state.
- A federated learning framework is proposed for drowsiness detection in a vehicular network.
- The framework leverages the YawDD dataset and achieves an accuracy of 99.2%.
- The model's scalability is demonstrated using different numbers of federated clients.
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