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ORCIDAbdullatif Albaseer
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2020 – today
- 2024
[j15]Nima Abdi
, Abdullatif Albaseer, Mohamed M. Abdallah:
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey. IEEE Internet Things J. 11(9): 16398-16421 (2024)- [j14]Danya A. Saifaldeen, Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Khalid A. Qaraqe:
DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications. IEEE Open J. Commun. Soc. 5: 3007-3020 (2024) - [j13]Abdullatif Albaseer, Abegaz Mohammed Seid, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning. IEEE Trans. Green Commun. Netw. 8(2): 865-877 (2024) - [j12]Abdullatif Albaseer, Nima Abdi, Mohamed M. Abdallah, Marwa K. Qaraqe, Saif Al-Kuwari:
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks. IEEE Trans. Netw. Serv. Manag. 21(4): 4844-4860 (2024) - [c23]Abdullatif Albaseer, Mohamed Abdallah:
Tailoring Semantic Communication at Network Edge: A Novel Approach Using Dynamic Knowledge Distillation. ICC 2024: 1455-1460 - [c22]Hassan Saadat, Abdullatif Albaseer, Mohamed Abdallah, Amr Mohamed, Aiman Erbad:
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. ICC 2024: 5467-5472 - [c21]Abdullatif Albaseer, Moqbel Hamood, Mohamed M. Abdallah:
Adaptive Honeypot Defense Deployment: A Stackelberg Game Approach with Decentralized DRL for AMI Protection. ICNC 2024: 1-5 - [c20]Mohammed Al-Mehdhar, Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha:
Charging Ahead: A Hierarchical Adversarial Framework for Counteracting Advanced Cyber Threats in EV Charging Stations. VTC Spring 2024: 1-6 - [c19]Moqbel Hamood, Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach. WCNC 2024: 1-6 - [i15]Nima Abdi, Abdullatif Albaseer, Mohamed Abdallah:
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey. CoRR abs/2401.05896 (2024) - [i14]Abdullatif Albaseer, Mohamed Abdallah:
Tailoring Semantic Communication at Network Edge: A Novel Approach Using Dynamic Knowledge Distillation. CoRR abs/2401.10214 (2024) - [i13]Moqbel Hamood, Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha:
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach. CoRR abs/2401.10646 (2024) - [i12]Hassan Saadat, Abdullatif Albaseer, Mohamed M. Abdallah, Amr Mohamed, Aiman Erbad:
Energy-Aware Service Offloading for Semantic Communications in Wireless Networks. CoRR abs/2401.15924 (2024) - [i11]Abdullatif Albaseer, Nima Abdi, Mohamed M. Abdallah, Marwa K. Qaraqe, Saif M. Al-Kuwari:
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks. CoRR abs/2407.02845 (2024) - [i10]Mohammed Al-Mehdhar, Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Charging Ahead: A Hierarchical Adversarial Framework for Counteracting Advanced Cyber Threats in EV Charging Stations. CoRR abs/2407.03729 (2024) - [i9]Moqbel Hamood, Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Amr Mohamed:
Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach. CoRR abs/2407.09219 (2024) - 2023
- [j11]Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed Abdallah, Mohsen Guizani:
Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks. IEEE Internet Things J. 10(22): 19695-19711 (2023) - [j10]Moqbel Hamood, Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Clustered and Multi-Tasked Federated Distillation for Heterogeneous and Resource Constrained Industrial IoT Applications. IEEE Internet Things Mag. 6(2): 64-69 (2023) - [j9]Mohamed Hany Mahmoud, Abdullatif Albaseer, Mohamed M. Abdallah, Naofal Al-Dhahir:
Federated Learning Resource Optimization and Client Selection for Total Energy Minimization Under Outage, Latency, and Bandwidth Constraints With Partial or No CSI. IEEE Open J. Commun. Soc. 4: 936-953 (2023) - [j8]Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed M. Abdallah, Mohsen Guizani:
Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Cogn. Commun. Netw. 9(4): 991-1011 (2023) - [j7]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Abegaz Mohammed Seid, Aiman Erbad, Octavia A. Dobre:
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. IEEE Trans. Netw. Serv. Manag. 20(2): 1502-1516 (2023) - [j6]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5848-5860 (2023) - [c18]Abdullatif Albaseer, Mohamed M. Abdallah:
Privacy-Preserving Honeypot-Based Detector in Smart Grid Networks: A New Design for Quality-Assurance and Fair Incentives Federated Learning Framework. CCNC 2023: 722-727 - [c17]Abdullatif Albaseer, Mohamed M. Abdallah:
DRL-based Federated Uncertainty-guided Semi-Supervised Learning for Network Traffic Selection and Threshold Determination in ZSM. GLOBECOM 2023: 1253-1258 - [c16]Moqbel Hamood, Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Amr Mohamed:
Intelligent Model Aggregation in Hierarchical Clustered Federated Multitask Learning. GLOBECOM 2023: 3009-3014 - [c15]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting the Divergence Between Output of ML Models to Detect Adversarial Attacks in Streaming IoT Applications. ICC 2023: 3090-3095 - [c14]Ahmed Elmasry, Abdullatif Albaseer, Mohamed Abdallah:
OpenPLC and lib61850 Smart Grid Testbed: Performance Evaluation and Analysis of GOOSE Communication. ISNCC 2023: 1-6 - [c13]Sajath Sathar, Saif Al-Kuwari, Abdullatif Albaseer, Marwa K. Qaraqe, Mohamed Abdallah:
Mitigating IEC-60870-5-104 Vulnerabilities: Anomaly Detection in Smart Grid based on LSTM Autoencoder. ISNCC 2023: 1-6 - [i8]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Abegaz Mohammed Seid, Aiman Erbad, Octavia A. Dobre:
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning. CoRR abs/2304.13423 (2023) - 2022
- [j5]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad, Octavia A. Dobre:
Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms. IEEE Internet Things J. 9(24): 25626-25642 (2022) - [j4]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3258-3271 (2022) - [c12]Abegaz Mohammed Seid, Hayla Nahom Abishu, Abdullatif Albaseer, Aiman Erbad, Mohamed Abdallah, Mohsen Guizani:
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network. GLOBECOM 2022: 1417-1422 - [c11]Abdullatif Albaseer, Mohamed M. Abdallah:
Fine-tuned LSTM-Based Model for Efficient Honeypot-Based Network Intrusion Detection System in Smart Grid Networks. ICCSPA 2022: 1-6 - [c10]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning. IWCMC 2022: 300-305 - [c9]Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albaseer, Kashif Ahmad, Mohamed Abdallah, Ala I. Al-Fuqaha:
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data. IWCMC 2022: 407-412 - [i7]Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albaseer, Kashif Ahmad, Mohamed Abdallah, Ala I. Al-Fuqaha:
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data. CoRR abs/2204.14020 (2022) - 2021
- [c8]Abdulmalik Alwarafy, Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed Abdallah, Ala I. Al-Fuqaha:
AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks. 5GWF 2021: 464-469 - [c7]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. GLOBECOM 2021: 1-6 - [c6]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. ICC Workshops 2021: 1-6 - [c5]Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah, Mounir Hamdi:
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. IWCMC 2021: 681-687 - [i6]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. CoRR abs/2104.05509 (2021) - [i5]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. CoRR abs/2106.12561 (2021) - [i4]Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah, Mounir Hamdi:
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. CoRR abs/2107.05989 (2021) - [i3]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. CoRR abs/2108.08768 (2021) - 2020
- [c4]Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah:
Performance Evaluation of Physical Attacks against E2E Autoencoder over Rayleigh Fading Channel. ICIoT 2020: 177-182 - [c3]Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning. IWCMC 2020: 1666-1671 - [c2]Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla, Mohamed Abdallah:
Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method. IWCMC 2020: 2112-2117 - [i2]Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla, Mohamed M. Abdallah:
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method. CoRR abs/2001.01911 (2020) - [i1]Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting Unlabeled Data in Smart Cities using Federated Learning. CoRR abs/2001.04030 (2020)
2010 – 2019
- 2019
- [j3]Abdullatif Albaseer, Uthman Baroudi:
Cluster-Based Node Placement Approach for Linear Pipeline Monitoring. IEEE Access 7: 92388-92397 (2019) - [j2]Abdullatif Albaseer, Uthman Baroudi:
Node placement approaches for pipelines monitoring: simulation and experimental analysis. Int. J. Sens. Networks 29(3): 147-158 (2019) - 2017
- [c1]Uthman Baroudi, Abdullatif Albaseer:
Anomaly resilient node placement approach for pipelines monitoring. IWCMC 2017: 311-316 - 2016
- [j1]Abdullatif Albaseer, Ghashmi Bin Talib, Ahmed Bawazir:
Multi-Hop Wireless Network: A Comparative Study for Routing Protocols using OMNET++ Simulator. J. Ubiquitous Syst. Pervasive Networks 7(1): 29-34 (2016)
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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