Download
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)
Project Samples
Categories
Federated Learning FrameworksLicense
Affero GNU Public LicenseFollow FLEXible
Other Useful Business Software
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of FLEXible!