Flower Framework Documentation
==============================

.. meta::
    :description: Check out the documentation of the main Flower Framework enabling easy Python development for Federated Learning.

Welcome to Flower's documentation. `Flower <https://flower.ai>`_ is a friendly federated
learning framework.

Join the Flower Community
-------------------------

The Flower Community is growing quickly - we're a friendly group of researchers,
engineers, students, professionals, academics, and other enthusiasts.

.. button-link:: https://flower.ai/join-slack
    :color: primary
    :shadow:

    Join us on Slack

Flower Framework
----------------

The user guide is targeted at researchers and developers who want to use Flower to bring
existing machine learning workloads into a federated setting. One of Flower's design
goals was to make this simple. Read on to learn more.

Tutorials
~~~~~~~~~

A learning-oriented series of federated learning tutorials, the best place to start.

.. toctree::
    :maxdepth: 1
    :caption: Tutorial

    tutorial-series-what-is-federated-learning
    tutorial-series-get-started-with-flower-pytorch
    tutorial-series-use-a-federated-learning-strategy-pytorch
    tutorial-series-build-a-strategy-from-scratch-pytorch
    tutorial-series-customize-the-client-pytorch

.. toctree::
    :maxdepth: 1
    :caption: Quickstart tutorials
    :hidden:

    tutorial-quickstart-pytorch
    tutorial-quickstart-tensorflow
    tutorial-quickstart-mlx
    tutorial-quickstart-huggingface
    tutorial-quickstart-jax
    tutorial-quickstart-pandas
    tutorial-quickstart-fastai
    tutorial-quickstart-pytorch-lightning
    tutorial-quickstart-scikitlearn
    tutorial-quickstart-xgboost
    tutorial-quickstart-android
    tutorial-quickstart-ios

QUICKSTART TUTORIALS: :doc:`PyTorch <tutorial-quickstart-pytorch>` | :doc:`TensorFlow
<tutorial-quickstart-tensorflow>` | :doc:`MLX <tutorial-quickstart-mlx>` | :doc:`🤗
Transformers <tutorial-quickstart-huggingface>` | :doc:`JAX <tutorial-quickstart-jax>` |
:doc:`Pandas <tutorial-quickstart-pandas>` | :doc:`fastai <tutorial-quickstart-fastai>`
| :doc:`PyTorch Lightning <tutorial-quickstart-pytorch-lightning>` | :doc:`scikit-learn
<tutorial-quickstart-scikitlearn>` | :doc:`XGBoost <tutorial-quickstart-xgboost>` |
:doc:`Android <tutorial-quickstart-android>` | :doc:`iOS <tutorial-quickstart-ios>`

We also made video tutorials for PyTorch:

.. youtube:: jOmmuzMIQ4c
    :width: 80%

And TensorFlow:

.. youtube:: FGTc2TQq7VM
    :width: 80%

How-to guides
~~~~~~~~~~~~~

Problem-oriented how-to guides show step-by-step how to achieve a specific goal.

.. toctree::
    :maxdepth: 1
    :caption: How-to guides

    how-to-install-flower
    how-to-configure-clients
    how-to-use-strategies
    how-to-implement-strategies
    how-to-aggregate-evaluation-results
    how-to-save-and-load-model-checkpoints
    how-to-run-simulations
    how-to-monitor-simulation
    how-to-configure-logging
    how-to-enable-ssl-connections
    how-to-use-built-in-mods
    how-to-use-differential-privacy
    how-to-authenticate-supernodes
    docker/index
    how-to-upgrade-to-flower-1.0
    how-to-upgrade-to-flower-next

.. toctree::
    :maxdepth: 1
    :caption: Legacy example guides

    example-pytorch-from-centralized-to-federated
    example-fedbn-pytorch-from-centralized-to-federated

Explanations
~~~~~~~~~~~~

Understanding-oriented concept guides explain and discuss key topics and underlying
ideas behind Flower and collaborative AI.

.. toctree::
    :maxdepth: 1
    :caption: Explanations

    explanation-federated-evaluation
    explanation-differential-privacy
    explanation-flower-architecture

References
~~~~~~~~~~

Information-oriented API reference and other reference material.

.. autosummary::
    :toctree: ref-api
    :template: autosummary/module.rst
    :caption: API reference
    :recursive:

       flwr

.. toctree::
    :maxdepth: 2

    ref-api-cli

.. toctree::
    :maxdepth: 1
    :caption: Reference docs

    ref-example-projects
    ref-telemetry
    ref-changelog
    ref-faq

Contributor docs
----------------

The Flower community welcomes contributions. The following docs are intended to help
along the way.

.. toctree::
    :maxdepth: 1
    :caption: Contributor tutorials

    contributor-tutorial-contribute-on-github
    contributor-tutorial-get-started-as-a-contributor

.. toctree::
    :maxdepth: 1
    :caption: Contributor how-to guides

    contributor-how-to-install-development-versions
    contributor-how-to-set-up-a-virtual-env
    contributor-how-to-develop-in-vscode-dev-containers
    contributor-how-to-write-documentation
    contributor-how-to-release-flower
    contributor-how-to-contribute-translations
    contributor-how-to-build-docker-images

.. toctree::
    :maxdepth: 1
    :caption: Contributor explanations

    contributor-explanation-public-and-private-apis

.. toctree::
    :maxdepth: 1
    :caption: Contributor references

    fed/index
    contributor-ref-good-first-contributions
    contributor-ref-secure-aggregation-protocols

..
    Indices and tables

..
    ------------------

..
    * :ref:`genindex`

..
    * :ref:`modindex`

..
    * :ref:`search`