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Resource Efficient Federated Deep Learning for IoT Security Monitoring

The aim of this project is to deploy a resource-efficient federated deep learning algorithm that can enhance security solutions in the Internet of Things (IoT) environment. To achieve this objective, a realistic testbed has been developed using GB-BXBT-2807 devices.

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