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Memory efficient federated deep learning for intrusion detection in IoT networks.

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izakariyya/Robust_DNN_IoT

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Memory efficient federated deep learning for intrusion detection in IoT networks

This project is focused on implementing a memory-efficient federated deep neural algorithm for effective security solutions in the Internet of Things (IoT) environment. The evaluation procedure considered both centralized and decentralized scenarios.

Citing this work

If you use this repository for academic research, you are highly to cite the following paper:

@inproceedings{zakariyya2021memory,
title={Memory efficient federated deep learning for intrusion detection in IoT networks.},
author={Zakariyya, Idris and Kalutarage, Harsha and Al-Kadri, M Omar},
year={2021},
organization={CEUR Workshop Proceedings}
}

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