SHIELD

Research output

Publications

Published and accepted

  1. Vahideh Hayyolalam and Öznur Özkasap NIAA: Neuroplasticity-inspired adaptive aggregation method for federated learning IEEE 3rd International Conference on Federated Learning Technologies and Applications (FLTA), Dubrovnik, Croatia, 2025, pp. 188-195. DOI
  2. Vahideh Hayyolalam and Öznur Özkasap FedAR: Adaptive Client Selection Strategy for Heterogeneous Federated Learning IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2026, pp. 1-6. DOI
  3. Vahideh Hayyolalam and Öznur Özkasap MetaFed: A Novel Aggregation Strategy for Efficient Federated Learning IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2026, pp. 1-6. DOI
  4. Vahideh Hayyolalam and Öznur Özkasap LiteTalk: Communication-Efficient Federated Learning via Adaptive Gradient Drift Detection IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2026, pp. 1-6. DOI
  5. Ozan Sina Bankaoğlu and Öznur Özkasap Blockchain-based Federated Learning for the IoV: Case of Electric Vehicle Energy Management 7th International Conference on Blockchain Computing and Applications (BCCA), Dubrovnik, Croatia, 2025, pp. 595-602. DOI
  6. Abdulrezzak Zekiye, Ouns Bouachir, Öznur Özkasap, and Moayad Aloqaily Beyond Energy Trading: AI-Enhanced Peer-to-Peer Energy Bartering IEEE Transactions on Smart Grid, early access, 2026. DOI
  7. Abdulrezzak Zekiye, Ouns Bouachir, Öznur Özkasap, and Moayad Aloqaily EBchain: Blockchain-based peer-to-peer energy bartering system BalkanCom, 2026. DOI
  8. A. Zekiye, O. Bouachir, Ö. Özkasap and M. Aloqaily Decentralized and AI-Enhanced IoE Framework: P2P Bartering, Donation, and On-Chain Learning IEEE 46th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2026. DOI
  9. L. T. Nguyen, H. T. Dinh, D. N. Nguyen, and Q.-V. Pham CarpeDiem: Critical Learning Period-Aware Contract-based Incentives for Federated Learning IEEE Transactions on Network Science and Engineering, vol. 13, 2026, pp. 10863-10881. DOI
  10. L. T. Nguyen and Q.-V. Pham A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 2025, pp. 1950-1955. DOI
  11. M. Le, Q.-V. Pham, B. O’Sullivan, and H. D. Nguyen Sum Rate Maximization in Downlink HAP-RSMA-based THz Systems: A Generative Diffusion Model enabled RL Approach IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 2025, pp. 3293-3298. DOI
  12. S. I. H. Shah, Y. A. Ergu, P.-C. Lin and V.-L. Nguyen T-MGA: Temporal GNNs with Global Attention for Smart Contract Vulnerability Detection IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Brisbane, Australia, 2026, pp. 1-9. DOI
  13. D. V. Nguyen, C. K. Tran, P.-C. Lin and V.-L. Nguyen Detached-PQ: A Validator-Push Hybrid Transaction Framework for Storage-Efficient PoS Blockchains IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Brisbane, Australia, 2026, pp. 1-3. DOI
  14. T.-D. Nguyen and V.-L. Nguyen Hybrid Transformer-based Learning For Enhancing Malware Detection in Cloud-Based Services IEEE International Conference on Communications (ICC), Glasgow, United Kingdom, 2026, pp. 1-6. DOI
  15. T. C. Khanh and V.-L. Nguyen Dynamic Fee Control under Competitive Routing in Concentrated-Liquidity Automated Market Makers IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Brisbane, Australia, 2026, pp. 1-5. DOI
  16. V.-L. Nguyen and Y. A. Ergu Adversarial Attacks on Hybrid Quantum-Classical Interference Classifier in Intelligent O-RAN IEEE Transactions on Network and Service Management, vol. 23, 2026, pp. 6493-6506. DOI
  17. Thieu Nguyen Van, Ti Ti Nguyen, Ons Aouedi, Vu Nguyen Ha, and Symeon Chatzinotas Resilient Decentralized Wireless Federated Learning via Gradient Tracking with Adam IEEE Global Communications Conference (GLOBECOM), 2026.
  18. Thieu Nguyen Van, Ti Ti Nguyen, Ons Aouedi, Huruy Zerihun, Vu Nguyen Ha, and Symeon Chatzinotas FedQoS: Federated QoS-Risk Learning for Heterogeneous Indoor-Outdoor Access Selection IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2026. DOI

Submissions

  1. L. T. Nguyen, N. V. Huynh, and Q.-V. Pham Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning Under review, IEEE Transactions on Mobile Computing, 2026.