Example projects

Flower comes with a number of usage examples. The examples demonstrate how Flower can be used to federate different kinds of existing machine learning pipelines, usually leveraging popular machine learning frameworks such as PyTorch or TensorFlow.

The following examples are available as standalone projects. Quickstart TensorFlow/Keras —————————

The TensorFlow/Keras quickstart example shows CIFAR-10 image classification with MobileNetV2:

• Quickstart TensorFlow (Code)

• Quickstart TensorFlow (Tutorial)

• Quickstart TensorFlow (Blog Post)

Quickstart PyTorch

The PyTorch quickstart example shows CIFAR-10 image classification with a simple Convolutional Neural Network:

• Quickstart PyTorch (Code)

• Quickstart PyTorch (Tutorial)

PyTorch: From Centralized To Federated

This example shows how a regular PyTorch project can be federated using Flower:

• PyTorch: From Centralized To Federated (Code)

• PyTorch: From Centralized To Federated (Tutorial)

Federated Learning on Raspberry Pi and Nvidia Jetson

This example shows how Flower can be used to build a federated learning system that run across Raspberry Pi and Nvidia Jetson:

• Federated Learning on Raspberry Pi and Nvidia Jetson (Code)

• Federated Learning on Raspberry Pi and Nvidia Jetson (Blog Post)