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

“…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>…”

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

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

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

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

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

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Crossover operator. par Pan Wang (198097)

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

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

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

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

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Comparison of model distances. par Pan Wang (198097)

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The process of FL. par Pan Wang (198097)

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Impact of the Dirichlet distribution. par Pan Wang (198097)

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Mutation operator. par Pan Wang (198097)

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

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

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

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Hyper-parameter settings. par Pan Wang (198097)

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

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