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Research

Dr Zhengxin Yu

Lecturer in Security and Protection Science

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  1. 2024
  2. Forthcoming

    Federated Adversarial Learning for Robust Autonomous Landing Runway Detection

    Li, Y., Angelov, P., Yu, Z., Lopez Pellicer, A. & Suri, N., 4/06/2024, (Accepted/In press) International Conference on Artificial Neural Networks (ICANN).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach

    Chen, Z., Zhang, J., Huang, Z., Wang, P., Yu, Z. & Miao, W., 30/04/2024, In: Future Generation Computer Systems. 153, p. 301-311 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. E-pub ahead of print

    Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications: A Worst-Case Perspective

    Miao, W., Min, G., Yu, Z. & Zhang, X., 30/09/2024, In: IEEE Transactions on Mobile Computing. 23, 9, p. 8951-8964 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. 2023
  6. Published

    RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries

    Yu, Z., Lu, Y. & Suri, N., 1/11/2023, 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

    Lu, Y., Yu, Z. & Suri, N., 31/08/2023, In: ACM Transactions on Privacy and Security. 26, 3, p. 1-39 39 p., 33.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks

    Jiang, X., Yu, Z., Hai, C., Liu, H., Wu, X. & Ward, T., 30/06/2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 3, p. 43:1-43:21 21 p., 43.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning

    Chen, Z. & Yu, Z., 30/06/2023, In: IEEE Communications Magazine. 61, 6, p. 118-123 6 p., 6.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Forthcoming

    Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace

    Yuksek, B., Yu, Z., Suri, N. & Inalhan, G., 22/04/2023, (Accepted/In press).

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  11. Published

    PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework

    Yu, Z., Lu, Y., Angelov, P. & Suri, N., 29/03/2023, 2022 18th International Conference on Mobility, Sensing and Networking (MSN). IEEE, p. 502-509 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. 2022
  13. Published

    Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

    Lu, Y., Yu, Z. & Suri, N., 1/10/2022, In: arXiv. abs/2210.00325, 26 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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