FAQ === This page collects answers to commonly asked questions about Federated Learning with Flower. .. dropdown:: :fa:`eye,mr-1` Can Flower run on Jupyter Notebooks / Google Colab? Yes, it can! Flower even comes with a few under-the-hood optimizations to make it work even better on Colab. Here's a quickstart example: * `Flower simulation PyTorch `_ * `Flower simulation TensorFlow/Keras `_ .. dropdown:: :fa:`eye,mr-1` How can I run Federated Learning on a Raspberry Pi? Find the `blog post about federated learning on embedded device here `_ and the corresponding `GitHub code example `_. .. dropdown:: :fa:`eye,mr-1` Does Flower support federated learning on Android devices? Yes, it does. Please take a look at our `blog post `_ or check out the code examples: * `Android Kotlin example `_ * `Android Java example `_ .. dropdown:: :fa:`eye,mr-1` Can I combine federated learning with blockchain? Yes, of course. A list of available examples using Flower within a blockchain environment is available here: * `FLock: A Decentralised AI Training Platform `_. * Contribute to on-chain training the model and earn rewards. * Local blockchain with federated learning simulation. * `Flower meets Nevermined GitHub Repository `_. * `Flower meets Nevermined YouTube video `_. * `Flower meets KOSMoS `_. * `Flower meets Talan blog post `_ . * `Flower meets Talan GitHub Repository `_ .