Welcome to Flower!¶
Flower is a friendly federated learning research framework. The design of Flower is based on a few guiding principles which aim to make it customizable, extendable, framework-agnostic, and understandable.
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
- Installing Flower
- Usage Examples
- Run examples on AWS
The Flower authors welcome external contributions. The following guides are intended to help along the way.