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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: 0 This Week

Last Update: 2025-07-15
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