We have hosted the application flexible in order to run this application in our online workstations with Wine or directly.


Quick description about flexible:

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.

Features:
  • Comes with federated datasets like MNIST, CIFAR10, Shakespeare
  • Compatible with PyTorch and TensorFlow models
  • Extensions for adversarial testing (FLEX-Clash)
  • Supports anomaly detection (flex-anomalies)
  • Decision-tree FL tools (flex-trees)
  • Blockchain simulation support (FLEX-block)


Programming Language: Python.
Categories:
Federated Learning Frameworks

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