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  • 2024

    Adaptive Online Non-stochastic Control

    Mhaisen, N. & Iosifidis, G., 2024, Proceedings of Machine Learning Research. Abate, A., Cannon, M., Margellos, K. & Papachristodoulou, A. (eds.). Vol. 242. p. 248-259 12 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    33 Downloads (Pure)
  • An Online Learning Framework for UAV Target Search Missions in Non-Stationary Environments

    Khial, N., Mhaisen, N., Mabrok, M. & Mohamed, A., 2024, Proceedings of the 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) . IEEE, p. 753-758 6 p. (Canadian Conference on Electrical and Computer Engineering).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • 2023

    Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach

    Zheng, J., Li, K., Mhaisen, N., Ni, W., Tovar, E. & Guizani, M., 2023, Proceedings of the 2023 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway: IEEE, p. 1-6 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
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    12 Citations (Scopus)
    103 Downloads (Pure)
  • 2022

    Online Caching with Optimistic Learning

    Mhaisen, N., Iosifidis, G. & Leith, D., 2022, Proceedings of the 2022 IFIP Networking Conference (IFIP Networking). IEEE, p. 1-9 9 p. 982980. (2022 IFIP Networking Conference, IFIP Networking 2022).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    7 Citations (Scopus)
    33 Downloads (Pure)