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ORCIDNaram Mhaisen
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2020 – today
- 2024
[j11]Naram Mhaisen
, George Iosifidis, Douglas J. Leith:
Online Caching With no Regret: Optimistic Learning via Recommendations. IEEE Trans. Mob. Comput. 23(5): 5949-5965 (2024)- [c7]Naram Mhaisen, George Iosifidis:
Adaptive online non-stochastic control. L4DC 2024: 248-259 - [i11]Naram Mhaisen, George Iosifidis:
Optimistic Online Non-stochastic Control via FTRL. CoRR abs/2404.03309 (2024) - 2023
- [j10]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): 21982-22007 (2023) - [c6]Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. SIGMETRICS (Abstracts) 2023: 69-70 - [c5]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: 1-6 - [i10]Naram Mhaisen, George Iosifidis:
Adaptive Online Non-stochastic Control. CoRR abs/2310.02261 (2023) - 2022
- [j9]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): 2366-2418 (2022) - [j8]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: 406-419 (2022) - [j7]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): 21099-21110 (2022) - [j6]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): 1287-1300 (2022) - [j5]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): 55-66 (2022) - [j4]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): 401-415 (2022) - [c4]Naram Mhaisen, George Iosifidis, Douglas J. Leith:
Online Caching with Optimistic Learning. IFIP Networking 2022: 1-9 - [i9]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 abs/2202.07391 (2022) - [i8]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 abs/2202.10308 (2022) - [i7]Naram Mhaisen, George Iosifidis, Douglas J. Leith:
Online Caching with Optimistic Learning. CoRR abs/2202.10590 (2022) - [i6]Naram Mhaisen, George Iosifidis, Douglas J. Leith:
Online Caching with no Regret: Optimistic Learning via Recommendations. CoRR abs/2204.09345 (2022) - [i5]Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, Georgios Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. CoRR abs/2208.06414 (2022) - 2021
- [j3]Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, George Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 48:1-48:28 (2021) - [c3]Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems. ICC 2021: 1-6 - [i4]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 abs/2105.01798 (2021) - [i3]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 abs/2107.06548 (2021) - [i2]Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. CoRR abs/2108.04087 (2021) - 2020
- [j2]Naram Mhaisen, Qutaibah M. Malluhi:
Data Consistency in Multi-Cloud Storage Systems With Passive Servers and Non-Communicating Clients. IEEE Access 8: 164977-164986 (2020) - [j1]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: 39-51 (2020) - [c2]Naram Mhaisen, Noora Fetais, Ahmed M. Massoud:
Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning. ICIoT 2020: 1-6 - [i1]Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. CoRR abs/2012.05622 (2020)
2010 – 2019
- 2018
- [c1]Naram Mhaisen, Omran Abazeed, Youssef Al Hariri, Abdullah Alsalemi, Osama Halabi:
Self-Powered IoT-Enabled Water Monitoring System. ICCA 2018: 41-45
Coauthor Index
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