Naram Mhaisen

Orcid: 0000-0003-0211-2666

According to our database1, Naram Mhaisen authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Online Caching With no Regret: Optimistic Learning via Recommendations.
IEEE Trans. Mob. Comput., May, 2024

Optimistic Online Non-stochastic Control via FTRL.
CoRR, 2024

Adaptive online non-stochastic control.
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
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems.
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

Online Caching with Optimistic Learning.
Proceedings of the IFIP Networking Conference, 2022

2021
Optimistic No-regret Algorithms for Discrete Caching.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey.
CoRR, 2021

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems.
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
Self-Powered IoT-Enabled Water Monitoring System.
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018


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