Tariq Qayyum

Orcid: 0000-0003-3561-9674

According to our database1, Tariq Qayyum authored at least 23 papers between 2018 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Leveraging Game Theory and XAI for Data Quality-Driven Sample and Client Selection in Trustworthy Split Federated Learning.
IEEE Trans. Consumer Electron., May, 2025

DHFL: Decentralized Hierarchical Federated Learning With Dynamic Global Aggregation for Privacy-Aware Fog Computing.
IEEE Trans. Consumer Electron., May, 2025

Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing.
CoRR, April, 2025

Meta-XPFL: An Explainable and Personalized Federated Meta-Learning Framework for Privacy-Aware IoMT.
IEEE Internet Things J., 2025

Intelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy Efficiency.
Proceedings of the International Wireless Communications and Mobile Computing, 2025

Incorporating Dark Web Education into Cybersecurity Curricula.
Proceedings of the IEEE Global Engineering Education Conference, 2025

2024
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects.
IEEE Open J. Commun. Soc., 2024

Fuzzy-based task offloading in Internet of Vehicles (IoV) edge computing for latency-sensitive applications.
Internet Things, 2024

Quantum Federated Learning: Bridging Quantum Computing and Distributed AI.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024

Teaching DNS Spoofing Attack Using a Hands-on Cybersecurity Approach Based on Virtual Kali Linux Platform.
Proceedings of the IEEE Global Engineering Education Conference, 2024

Enhancing Fog/Edge Computing Education Using Extended Network Simulator Omnet++ (xFogSim).
Proceedings of the IEEE Global Engineering Education Conference, 2024

AI and Network Security Curricula: Minding the Gap.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
Trustworthy Federated Learning: A Survey.
CoRR, 2023

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning.
IEEE Access, 2023

Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Diagnosis of Schizophrenia from EEG signals Using ML Algorithms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Trajectory Design for UAV-Based Data Collection Using Clustering Model in Smart Farming.
Sensors, 2022

Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT).
J. Cloud Comput., 2022

Global Aggregation Node Selection Scheme in Federated Learning for Vehicular Ad Hoc Networks (VANETs).
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
xFogSim: A Distributed Fog Resource Management Framework for Sustainable IoT Services.
IEEE Trans. Sustain. Comput., 2021

Multi-Level Resource Sharing Framework Using Collaborative Fog Environment for Smart Cities.
IEEE Access, 2021

2020
Leveraging Fog Computing for Sustainable Smart Farming Using Distributed Simulation.
IEEE Internet Things J., 2020

2018
FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment.
IEEE Access, 2018


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