Pervasive AI & Edge Computing

Research Areas

A- Pervasive AI for IoT applications:

1- Distributed inference

2- Federated learning

3- Multi-agent reinforcement learning

B- Edge computing for IoT applications

1- Edge computing for video caching and transcoding

Pervasive AI for IoT applications: a survey

1. E. Baccour, N. Mhaisen, AA. Abdellatif, A. Erbad, A. Mohamed, M. Hamdi and M. Guizani, "Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence," arXiv preprint arXiv:2105.01798.

Distributed inference: privacy-aware distributed CNN

1. E. Baccour, A. Erbad, A. Mohamed, M. Hamdi and M. Guizani, "DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9322470.

2. E. Baccour, A. Erbad, A. Mohamed, M. Hamdi and M. Guizani, "RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems," in IEEE Access, vol. 9, pp. 54872-54887, 2021, doi: 10.1109/ACCESS.2021.307062.

Federated learning

1. N. Mhaisen, A. Awad, A. Mohamed, A. Erbad and M. Guizani, "Optimal User-Edge Assignment in Hierarchical Federated Learning based on Statistical Properties and Network Topology Constraints," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3053588.

Multi-agent reinforcement learning

Edge computing and core network technologies

1. E. Baccour, A. Erbad, K. Bilal, A. Mohamed, M. Guizani and M. Hamdi, "FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations," 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), 2020, pp. 476-483, doi: 10.1109/ICIoT48696.2020.9089607.

2. E. Baccour, A. Erbad, A. Mohamed, K. Bilal and M. Guizani, "Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks," 2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019, pp. 1-7, doi: 10.1109/WCNC.2019.8885906.

3. Kashif Bilal, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani, Collaborative joint caching and transcoding in mobile edge networks, Journal of Network and Computer Applications, Volume 136, 2019, Pages 86-99, https://doi.org/10.1016/j.jnca.2019.02.004.

4. E. Baccour, A. Erbad, A. Mohamed and M. Guizani, "CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication," 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019, pp. 1550-1556, doi: 10.1109/IWCMC.2019.8766715.

5. Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani, PCCP: Proactive Video Chunks Caching and Processing in edge networks, Future Generation Computer Systems, Volume 105, 2020, Pages 44-60, https://doi.org/10.1016/j.future.2019.11.006.

6. E. Baccour, A. Erbad, A. Mohamed, M. Guizani and M. Hamdi, "CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks," 2020 International Wireless Communications and Mobile Computing (IWCMC), 2020, pp. 1770-1776, doi: 10.1109/IWCMC48107.2020.9148355.

7. Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani, Mounir Hamdi, Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication, Journal of Network and Computer Applications, Volume 172, 2020, https://doi.org/10.1016/j.jnca.2020.102801.

8. K. Zahoor, K. Bilal, A. Erbad and A. Mohamed, "Service-Less Video Multicast in 5G: Enablers and Challenges," in IEEE Network, vol. 34, no. 3, pp. 270-276, May/June 2020, doi: 10.1109/MNET.001.1900435.

9. K. Zahoor, K. Bilal, A. Erbad, A. Mohamed and M. Guizani, "Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast," in IEEE Access, vol. 9, pp. 59508-59526, 2021, doi: 10.1109/ACCESS.2021.3070814.