Resource Efficient Federated Deep Learning for IoT Security Monitoring

The objective of this project is to implement a resource-efficient federated deep learning algorithm to enhance security solutions in the Internet of Things (IoT) environment. The project considers the simulated federated scenario of implementing Fedarated Averaging (FedAVg).

Citing this work

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

@inproceedings{zakariyya2022resource,
title={Resource Efficient Federated Deep Learning for IoT Security Monitoring},
author={Zakariyya, Idris and Kalutarage, Harsha and Al-Kadri, M Omar},
booktitle={Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022, Copenhagen, Denmark, September 30, 2022, Revised Selected Papers},
pages={122--142},
year={2022},
organization={Springer}
}