Asadullah Tariq

Orcid: 0000-0002-2791-2347

According to our database1, Asadullah Tariq authored at least 23 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models.
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

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

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

Empowering Healthcare With Cyber-Physical System - A Systematic Literature Review.
IEEE Access, 2024

Quantum Federated Learning: Bridging Quantum Computing and Distributed AI.
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
Dynamic Data Sample Selection and Scheduling in Edge Federated Learning.
IEEE Open J. Commun. Soc., 2023

Trustworthy Federated Learning: A Survey.
CoRR, 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
Forwarding Strategies in NDN-Based Wireless Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2020

CBAM: A Controller based Broadcast Storm Avoidance Mechanism in SDN based NDN-IoTs.
Proceedings of the 3rd International Conference on Advancements in Computational Sciences, 2020


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