Naram Mhaisen
Orcid: 0000-0003-0211-2666
According to our database1,
Naram Mhaisen
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Mob. Comput., May, 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues.
IEEE Internet Things J., 2023
Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints.
IEEE Trans. Netw. Sci. Eng., 2022
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks.
IEEE Trans. Cogn. Commun. Netw., 2022
Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT.
IEEE Internet Things J., 2022
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data.
Future Gener. Comput. Syst., 2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT.
CoRR, 2022
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence.
IEEE Commun. Surv. Tutorials, 2022
Proceedings of the IFIP Networking Conference, 2022
2021
Proc. ACM Meas. Anal. Comput. Syst., 2021
CoRR, 2021
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021
Proceedings of the ICC 2021, 2021
2020
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications.
Future Gener. Comput. Syst., 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data.
CoRR, 2020
Data Consistency in Multi-Cloud Storage Systems With Passive Servers and Non-Communicating Clients.
IEEE Access, 2020
Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning.
Proceedings of the IEEE International Conference on Informatics, 2020
2018
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018