Resource-Constrained Federated Learning

Project: Research

1 - 3 out of 3Page size: 20

Research Output

  1. 2024
  2. Online published

    Accurate Prediction of Network Distance via Federated Deep Reinforcement Learning

    Huang, H., Cai, Y., Min, G., Wang, H., Liu, G. & Wu, D. O., 2 Apr 2024, (Online published) In: IEEE/ACM Transactions on Networking.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  3. Online published

    Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning

    Huang, H., Tian, J., Min, G., Yin, H., Zeng, C., Zhao, Y. & Wu, D. O., 28 Feb 2024, (Online published) In: IEEE/ACM Transactions on Networking. 14 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 2
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  4. 2023
  5. Published

    The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective

    Wang, C., Yuan, Z., Zhou, P., Xu, Z., Li, R. & Wu, D. O., 15 Dec 2023, In: IEEE Internet of Things Journal. 10, 24, p. 22008-22032

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 17
    Check@CityULib