Sledovat
Tariq Qayyum
Tariq Qayyum
United Arab Emirates University (UAEU)
E-mailová adresa ověřena na: seecs.edu.pk - Domovská stránka
Název
Citace
Citace
Rok
FogNetSim++: A toolkit for modeling and simulation of distributed fog environment
T Qayyum, AW Malik, MAK Khattak, O Khalid, SU Khan
IEEE Access 6, 63570-63583, 2018
2122018
Leveraging fog computing for sustainable smart farming using distributed simulation
AW Malik, AU Rahman, T Qayyum, SD Ravana
IEEE Internet of Things Journal 7 (4), 3300-3309, 2020
602020
Multi-level resource sharing framework using collaborative fog environment for smart cities
T Qayyum, Z Trabelsi, AW Malik, K Hayawi
IEEE access 9, 21859-21869, 2021
302021
Trajectory design for uav-based data collection using clustering model in smart farming
T Qayyum, Z Trabelsi, A Malik, K Hayawi
Sensors 22 (1), 37, 2021
282021
XFogSim: A distributed fog resource management framework for sustainable IoT services
AW Malik, T Qayyum, AU Rahman, MA Khan, O Khalid, SU Khan
IEEE Transactions on Sustainable Computing 6 (4), 691-702, 2020
272020
Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT)
T Qayyum, Z Trabelsi, A Waqar Malik, K Hayawi
Journal of Cloud Computing 11 (1), 72, 2022
222022
Trustworthy federated learning: A survey
A Tariq, MA Serhani, F Sallabi, T Qayyum, ES Barka, KA Shuaib
arXiv preprint arXiv:2305.11537, 2023
192023
FL-ODP: An optimized differential privacy enabled privacy preserving federated learning
M Iqbal, A Tariq, M Adnan, IU Din, T Qayyum
IEEE Access 11, 116674-116683, 2023
132023
Empowering trustworthy client selection in edge federated learning leveraging reinforcement learning
A Tariq, A Lakas, F Sallabi, T Qayyum, MA Serhani, E Barka
Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing, 372-377, 2023
72023
Modeling and simulation of distributed fog environment using FogNetSim++
T Qayyum, AW Malik, MA Khan, SU Khan
Fog Computing: Theory and Practice, 293-307, 2020
72020
Trustworthy federated learning: A comprehensive review, architecture, key challenges, and future research prospects
A Tariq, MA Serhani, FM Sallabi, ES Barka, T Qayyum, HM Khater, ...
IEEE Open Journal of the Communications Society, 2024
52024
Global aggregation node selection scheme in federated learning for vehicular ad hoc networks (VANETs)
Z Trabelsi, T Qayyum, K Hayawi, M Ali
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2022
42022
Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles
T Qayyum, Z Trabelsi, A Tariq, M Ali, K Hayawi, IU Din
Computers, Materials and Continua 77 (2), 1739, 2023
32023
Enhancing Fog/Edge Computing Education Using Extended Network Simulator Omnet++ (xFogSim)
T Qayyum, Z Trabelsi, B Alomar, MMA Parambil
2024 IEEE Global Engineering Education Conference (EDUCON), 01-09, 2024
12024
Teaching DNS Spoofing Attack Using a Hands-on Cybersecurity Approach Based on Virtual Kali Linux Platform
Z Trabelsi, MMA Parambil, T Qayyum, B Alomar
2024 IEEE Global Engineering Education Conference (EDUCON), 1-8, 2024
12024
AI and Network Security Curricula: Minding the Gap
B Alomar, Z Trabelsi, T Qayyum, MMA Parambil
2024 IEEE Global Engineering Education Conference (EDUCON), 1-7, 2024
12024
Diagnosis of schizophrenia from eeg signals using ml algorithms
T Qayyum, A Tariq, MA Serhani, Z Trabelsi, AN Belkacem
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
12023
3 Privacy Preserved Federated Learning with Optimized
M Iqbal, A Tariq, M Adnan, IU Din, T Qayyum
Securing the Digital Realm: Advances in Hardware and Software Security …, 2025
2025
Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT
MA Serhani, A Tariq, T Qayyum, I Taleb, I Din, Z Trabelsi
IEEE Internet of Things Journal, 2025
2025
Fuzzy-based task offloading in Internet of Vehicles (IoV) edge computing for latency-sensitive applications
Z Trabelsi, M Ali, T Qayyum
Internet of Things 28, 101392, 2024
2024
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Články 1–20