Welcome to Flower’s documentation. Flower is a friendly federated learning framework.
The user guide is targeted at researchers and developers who want to use Flower to bring existing machine learning workloads into a federated setting. One of Flower’s design goals was to make this simple. Read on to learn more.
- Flower Quickstart (with Keras)
- Flower Quickstart (with PyTorch)
- Installing Flower
- Usage Examples
- Run examples on AWS
The Flower authors welcome external contributions. The following guides are intended to help along the way.