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Gösterilen 1 - 20 sonuçlar arası kayıtlar. 26 sonuç. Aranan kelime '(("distributed computing framework") OR ("distributed meaning framework"))*', Sorgu süresi: 0.43s Sonuçları Daraltın
  1. 1
    TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments

    TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments Yazar: Murtaza Rangwala (20153130)

    Baskı/Yayın Bilgisi 2024
    “…These results establish TrustMesh's effectiveness in balancing security, performance, and flexibility requirements in trustless IoT environments, advancing the state-of-the-art in secure distributed computing frameworks.</p>…”
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  2. 2
    Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD.

    Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD. Yazar: Pan Wang (198097)

    Baskı/Yayın Bilgisi 2025
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  3. 3
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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  4. 4
    Visualization Comparison Between Client Model with NO_EA.

    Visualization Comparison Between Client Model with NO_EA. Yazar: Pan Wang (198097)

    Baskı/Yayın Bilgisi 2025
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  5. 5
    Comparison of FashionMNIST with different intervals under FedAvg, FedProx and SCAFFOLD.

    Comparison of FashionMNIST with different intervals under FedAvg, FedProx and SCAFFOLD. Yazar: Pan Wang (198097)

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  6. 6
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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  7. 7
    Crossover operator.

    Crossover operator. Yazar: Pan Wang (198097)

    Baskı/Yayın Bilgisi 2025
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  8. 8
    The accuracy of TodayNews dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of TodayNews dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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  9. 9
    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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  10. 10
    Visualization Comparison Between Client Model with EA.

    Visualization Comparison Between Client Model with EA. Yazar: Pan Wang (198097)

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  11. 11
    Comparison between methods with EA and methods without EA.

    Comparison between methods with EA and methods without EA. Yazar: Pan Wang (198097)

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  12. 12
    Comparison of model distances.

    Comparison of model distances. Yazar: Pan Wang (198097)

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  13. 13
    The process of FL.

    The process of FL. Yazar: Pan Wang (198097)

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  14. 14
    Impact of the Dirichlet distribution.

    Impact of the Dirichlet distribution. Yazar: Pan Wang (198097)

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  15. 15
    Mutation operator.

    Mutation operator. Yazar: Pan Wang (198097)

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  16. 16
    Comparison of MNIST with different intervals under FedAvg, FedProx and SCAFFOLD.

    Comparison of MNIST with different intervals under FedAvg, FedProx and SCAFFOLD. Yazar: Pan Wang (198097)

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  17. 17
    Impact of the hyperparameter <i>μ.</i>

    Impact of the hyperparameter <i>μ.</i> Yazar: Pan Wang (198097)

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  18. 18
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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  19. 19
    Hyper-parameter settings.

    Hyper-parameter settings. Yazar: Pan Wang (198097)

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  20. 20
    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD. Yazar: Pan Wang (198097)

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