This is the Linux app named FLEXible whose latest release can be downloaded as Distributedishere!sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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FLEXible
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/flexible.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
