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    FLEXible

    FLEXible

    Federated Learning (FL) experiment simulation in Python

    FLEXible (Federated Learning Experiments) is a Python framework offering tools to simulate FL with deep learning. It includes built-in datasets (MNIST, CIFAR10, Shakespeare), supports TensorFlow/PyTorch, and has extensions for adversarial attacks, anomaly detection, and decision trees.
    Downloads: 1 This Week
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    Awesome-FL

    Awesome-FL

    Comprehensive and timely academic information on federated learning

    A “awesome” curated list of federated learning (FL) academic resources: research papers, tools, frameworks, datasets, tutorials, and workshops. A hub for FL knowledge maintained by the academic community.
    Downloads: 1 This Week
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