Emna Baccour
Orcid: 0000-0001-8218-8745
According to our database1,
Emna Baccour
authored at least 48 papers
between 2015 and 2024.
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Bibliography
2024
A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework.
IEEE Internet Things J., June, 2024
Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers.
IEEE Open J. Commun. Soc., 2024
Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems.
J. Netw. Comput. Appl., 2024
Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems.
Future Gener. Comput. Syst., 2024
RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments.
IEEE Access, 2024
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Reinforcement Learning-based anti-Jamming Solution for Aerial RIS-aided Dense Dynamic Multi-User Environments.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
2023
Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer.
IEEE Internet Things J., October, 2023
IEEE Syst. J., September, 2023
To transcode or not? A machine learning based edge video caching and transcoding strategy.
Comput. Electr. Eng., July, 2023
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks.
IEEE Commun. Mag., February, 2023
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms.
IEEE Internet Things J., 2023
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
Proceedings of the IEEE Symposium on Computers and Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems.
IEEE Trans. Netw. Sci. Eng., 2022
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment.
IEEE Syst. J., 2022
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization.
IEEE Internet Things J., 2022
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks.
IEEE Internet Things J., 2022
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence.
IEEE Commun. Surv. Tutorials, 2022
IEEE Access, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
2021
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems.
IEEE Access, 2021
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication.
J. Netw. Comput. Appl., 2020
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos.
Future Gener. Comput. Syst., 2020
Future Gener. Comput. Syst., 2020
CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations.
Proceedings of the IEEE International Conference on Informatics, 2020
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems.
Proceedings of the IEEE Global Communications Conference, 2020
2019
J. Netw. Comput. Appl., 2019
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2017
Network architectures and energy efficiency for high performance data centers. (Architectures réseaux et optimisation d'énergie pour les centres de données massives).
PhD thesis, 2017
J. Parallel Distributed Comput., 2017
Achieving energy efficiency in data centers with a performance-guaranteed power aware routing.
Comput. Commun., 2017
Proceedings of the Mobile Networks and Management - 9th International Conference, 2017
2016
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016
A Guaranteed Performance of a Green Data Center Based on the Contribution of Vital Nodes.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015