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Flower: A Friendly Federated AI Framework
Flower is an open-source platform for building, running, and evaluating federated machine learning apps across any ML framework or programming language.
Build federated AI apps for any framework
Flower is a friendly, open-source platform designed to help you create, run, and evaluate federated machine learning applications. Whether you work with PyTorch, TensorFlow, or another ML framework, Flower unifies the process and makes it easy to federate your workloads in any programming language.
With Flower, you can quickly get started building collaborative AI solutions while keeping data decentralized and secure. The platform includes helpful tools, example projects, and community links so you can dive right in, whether you're a researcher, developer, or organization.
You'll also find a welcoming community, regular events, and plenty of resources to help you learn and grow in the federated learning space. Flower is ideal if you want to experiment with or deploy federated AI in a flexible, framework-agnostic way.
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