Asadullah Tariq
Orcid: 0000-0002-2791-2347
According to our database1,
Asadullah Tariq
authored at least 23 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
CoRR, June, 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
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
Deep Learning-Based Task Offloading for Efficient and Reliable Computation in High-Mobility Vehicular Networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2025
2024
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects.
IEEE Open J. Commun. Soc., 2024
IEEE Access, 2024
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024
A Trust and Data Quality-Based Dynamic Node Selection and Aggregation Optimization in Federated Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
2023
IEEE Open J. Commun. Soc., 2023
FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning.
IEEE Access, 2023
Federated-Edge Computing Based Cyber-Physical Systems Framework for Enhanced Diabetes Management.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023
Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023
A Secure and Scalable Peer-to-Peer Federated Learning Approach for Handling Veracity in Big Data.
Proceedings of the IEEE Intl Conf on Dependable, 2023
Integrating Cyber-Physical System with Federated-Edge Computing for Diabetes Detection and Management.
Proceedings of the 5th International Conference on Big-data Service and Intelligent Computation, 2023
2021
A Novel Solution to Minimize the Interest Flooding and to Improve the Content-Store Performance for NDN-Based Wireless Sensor Networks.
IEICE Trans. Inf. Syst., 2021
VTA-SMAC: Variable Traffic-Adaptive Duty Cycled Sensor MAC Protocol to Enhance Overall QoS of S-MAC Protocol.
IEEE Access, 2021
ECM-MAC: An Efficient Collision Mitigation Strategy in Contention Based MAC Protocol.
IEEE Access, 2021
2020
IEEE Commun. Surv. Tutorials, 2020
Proceedings of the 3rd International Conference on Advancements in Computational Sciences, 2020