################## 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) `_ - :doc:`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) `_ - :doc:`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) `_ ****************************************************** 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) `_