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Showing 1 - 20 results of 228 for search '(( element cscap algorithm ) OR ((( client learning algorithm ) OR ( neural coding algorithm ))))', query time: 0.51s Refine Results
  1. 1
    Comparison of federated learning algorithms.

    Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

    Published 2025
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  2. 2
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  3. 3
    African Market OS-MVR API TypeScript Client

    African Market OS-MVR API TypeScript Client by Farouk Mark Mukiibi (22233445)

    Published 2025
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  4. 4
    PBFL

    PBFL by Shijie Na (9067169)

    Published 2025
    Subjects: “…Distributed systems and algorithms…”
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  5. 5
    Visualization Comparison Between Client Model with EA.

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

    Published 2025
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  6. 6
    Visualization Comparison Between Client Model with NO_EA.

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

    Published 2025
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  7. 7
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  8. 8
    The proportion of triples in each client.

    The proportion of triples in each client. by Chunjuan Li (7890182)

    Published 2025
    “…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”
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  9. 9
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  10. 10
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  11. 11
    Generated samples from experiment with 3 clients.

    Generated samples from experiment with 3 clients. by Hassan Kamran (21782056)

    Published 2025
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  12. 12
    Generated Samples from experiment with 7 clients.

    Generated Samples from experiment with 7 clients. by Hassan Kamran (21782056)

    Published 2025
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  13. 13
    Generated samples from experiment with 5 clients.

    Generated samples from experiment with 5 clients. by Hassan Kamran (21782056)

    Published 2025
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  14. 14
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  15. 15
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  16. 16
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  17. 17
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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  18. 18
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  19. 19
    Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD.

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

    Published 2025
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  20. 20
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

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

    Published 2025
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