Synonyme wurden verwendet für: learning
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1–10 von 20 Ergebnissen
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    Communication-efficient and federated multi-agent reinforcement learning

    Freier Zugriff
    Krouka, M. (Mounssif) / Elgabli, A. (Anis) / Issaid, C. B. (Chaouki Ben) et al. | BASE | 2022
    Schlagwörter: reinforcement learning

    Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs

    Freier Zugriff
    Zhang, M. (Min) / Jiang, Y. (Yanxiang) / Zheng, F.-C. (Fu-Chun) et al. | BASE | 2021
    Schlagwörter: deep reinforcement learning , horizontal federated learning

    Cooperative edge caching via multi agent reinforcement learning in fog radio access networks

    Freier Zugriff
    Chang, Q. (Qi) / Jiang, Y. (Yanxiang) / Zheng, F.-C. (Fu-Chun) et al. | BASE | 2022
    Schlagwörter: multi agent reinforcement learning

    Cooperative perception in vehicular networks using multi-agent reinforcement learning

    Freier Zugriff
    Abdel-Aziz, M. K. (Mohamed K.) / Samarakoon, S. (Sumudu) / Perfecto, C. (Cristina) et al. | BASE | 2021
    Schlagwörter: federated reinforcement learning

    Cyber-physical security and safety of autonomous connected vehicles:optimal control meets multi-armed bandit learning

    Freier Zugriff
    Ferdowsi, A. (Aidin) / Ali, S. (Samad) / Saad, W. (Walid) et al. | BASE | 2019
    Schlagwörter: multi-armed bandit learning

    End-to-end intent-based networking

    Freier Zugriff
    Velasco, L. (Luis) / Signorelli, M. (Marco) / González De Dios, O. (Oscar) et al. | BASE | 2021
    Schlagwörter: Machine learning

    Federated learning on the road autonomous controller design for connected and autonomous vehicles

    Freier Zugriff
    Zeng, T. (Tengchan) / Semiari, O. (Omid) / Chen, M. (Mingzhe) et al. | BASE | 2022
    Schlagwörter: machine learning

    Information freshness-aware task offloading in air-ground integrated edge computing systems

    Freier Zugriff
    Chen, X. (Xianfu) / Wu, C. (Celimuge) / Chen, T. (Tao) et al. | BASE | 2022
    Schlagwörter: multi-agent deep reinforcement learning

    Integrating LEO satellites and multi-UAV reinforcement learning for hybrid FSO/RF non-terrestrial networks

    Freier Zugriff
    Lee, J.-H. (Ju-Hyung) / Park, J. (Jihong) / Bennis, M. (Mehdi) et al. | BASE | 2022
    Schlagwörter: multi-agent deep reinforcement learning

    Learning, computing, and trustworthiness in intelligent IoT environments:performance-energy tradeoffs

    Freier Zugriff
    Soret, B. (Beatriz) / Nguyen, L. D. (Lam D.) / Seeger, J. (Jan) et al. | BASE | 2022
    Schlagwörter: Distributed learning