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Training & fine-tuning

Flower

A framework for training AI models across many devices without collecting everyone's data in one place.

Research-backedNew this week

What it does

Flower is a framework for federated learning, a way to train an AI model across many phones, computers or organisations. Each one learns from its own data, and only the lessons are shared, not the raw data.

It works with almost any machine learning tool, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn and JAX, and has quickstarts for Android and iOS.

Flower began as a research project at the University of Oxford. It comes with step-by-step tutorials and a collection of reproduced research experiments.

Who it's for

AI researchers and developers who need to train models on data that cannot be moved, for privacy or practical reasons.

Can I use it without coding?

Developers only. It is a Python framework, so you use it by writing code. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Computer
An ordinary computer is fine
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it