Naram Mhaisen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Confidence Bounds

Resource Allocation

Distributed Artificial Intelligence

Reinforcement Learning

Top Venues

Future Gener. Comput. Syst.

IEEE Internet Things J.

IEEE Trans. Netw. Sci. Eng.

Publications

Naram Mhaisen, George Iosifidis
Adaptive online non-stochastic control. L4DC (2024)
Naram Mhaisen, George Iosifidis
Optimistic Online Non-stochastic Control via FTRL. CoRR (2024)
Naram Mhaisen, George Iosifidis, Douglas J. Leith
Online Caching With no Regret: Optimistic Learning via Recommendations. IEEE Trans. Mob. Comput. 23 (5) (2024)
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis
Optimistic No-regret Algorithms for Discrete Caching. SIGMETRICS (Abstracts) (2023)
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach. WCNC (2023)
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues. IEEE Internet Things J. 10 (24) (2023)
Naram Mhaisen, George Iosifidis
Adaptive Online Non-stochastic Control. CoRR (2023)
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks. CoRR (2022)
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT. IEEE Internet Things J. 9 (21) (2022)
Naram Mhaisen, George Iosifidis, Douglas J. Leith
Online Caching with Optimistic Learning. IFIP Networking (2022)
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. IEEE Trans. Cogn. Commun. Netw. 8 (2) (2022)
Naram Mhaisen, George Iosifidis, Douglas J. Leith
Online Caching with Optimistic Learning. CoRR (2022)
Naram Mhaisen, George Iosifidis, Douglas J. Leith
Online Caching with no Regret: Optimistic Learning via Recommendations. CoRR (2022)
Naram Mhaisen, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints. IEEE Trans. Netw. Sci. Eng. 9 (1) (2022)
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. Future Gener. Comput. Syst. 128 (2022)
Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, Mohsen Guizani
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT. CoRR (2022)
Naram Mhaisen, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, Georgios Iosifidis
Optimistic No-regret Algorithms for Discrete Caching. CoRR (2022)
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence. IEEE Commun. Surv. Tutorials 24 (4) (2022)
Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems. ICC (2021)
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. CoRR (2021)
Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis
Optimistic No-regret Algorithms for Discrete Caching. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data. CoRR (2021)
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. CoRR (2021)
Naram Mhaisen, Noora Fetais, Ahmed Massoud
Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning. ICIoT (2020)
Naram Mhaisen, Qutaibah M. Malluhi
Data Consistency in Multi-Cloud Storage Systems With Passive Servers and Non-Communicating Clients. IEEE Access 8 (2020)
Naram Mhaisen, Noora Fetais, Aiman Erbad, Amr Mohamed, Mohsen Guizani
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications. Future Gener. Comput. Syst. 111 (2020)
Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. CoRR (2020)
Naram Mhaisen, Omran Abazeed, Youssef Al Hariri, Abdullah Alsalemi, Osama Halabi
Self-Powered IoT-Enabled Water Monitoring System. ICCA (2018)