docs(framework) Add quickstart examples Docker compose guide

doc/source/docker/index.rst

@@ -44,3 +44,4 @@ Run Flower using Docker Compose
    :maxdepth: 1
 
    tutorial-quickstart-docker-compose
+   run-quickstart-examples-docker-compose

doc/source/docker/run-quickstart-examples-docker-compose.rst

@@ -0,0 +1,122 @@
+Run Flower Quickstart Examples with Docker Compose
+==================================================
+
+Flower provides a set of `quickstart examples <https://github.com/adap/flower/tree/main/examples>`_
+to help you get started with the framework. These examples are designed to demonstrate the
+capabilities of Flower and by default run using the Simulation Engine. This guide demonstrates
+how to run them using Flower's Deployment Engine via Docker Compose.
+
+.. important::
+
+   Some quickstart examples may have limitations or requirements that prevent them from running
+   on every environment. For more information, please see `Limitations`_.
+
+Prerequisites
+-------------
+
+Before you start, make sure that:
+
+- The ``flwr`` CLI is :doc:`installed <../how-to-install-flower>` locally.
+- The Docker daemon is running.
+- Docker Compose is `installed <https://docs.docker.com/compose/install/>`_.
+
+Run the Quickstart Example
+--------------------------
+
+#. Clone the quickstart example you like to run. For example, ``quickstart-pytorch``:
+
+   .. code-block:: bash
+
+      $ git clone --depth=1 https://github.com/adap/flower.git \
+           && mv flower/examples/quickstart-pytorch . \
+           && rm -rf flower && cd quickstart-pytorch
+
+#. Download the `compose.yml <https://github.com/adap/flower/blob/main/src/docker/complete/compose.yml>`_ file into the example directory:
+
+   .. code-block:: bash
+
+      $ curl https://raw.githubusercontent.com/adap/flower/refs/heads/main/src/docker/complete/compose.yml \
+          -o compose.yml
+
+#. Build and start the services using the following command:
+
+   .. code-block:: bash
+
+      $ docker compose up --build -d
+
+#. Append the following lines to the end of the ``pyproject.toml`` file and save it:
+
+   .. code-block:: toml
+      :caption: pyproject.toml
+
+      [tool.flwr.federations.local-deployment]
+      address = "127.0.0.1:9093"
+      insecure = true
+
+   .. note::
+
+      You can customize the string that follows ``tool.flwr.federations.`` to fit your needs.
+      However, please note that the string cannot contain a dot (``.``).
+
+      In this example, ``local-deployment`` has been used. Just remember to replace
+      ``local-deployment`` with your chosen name in both the ``tool.flwr.federations.`` string
+      and the corresponding ``flwr run .`` command.
+
+#. Run the example:
+
+   .. code-block:: bash
+
+      $ flwr run . local-deployment
+
+#. Follow the logs of the SuperExec service:
+
+   .. code-block:: bash
+
+      $ docker compose logs superexec -f
+
+That is all it takes! You can monitor the progress of the run through the logs of the SuperExec.
+
+Run a Different Quickstart Example
+----------------------------------
+
+To run a different quickstart example, such as ``quickstart-tensorflow``, first, shut down the Docker
+Compose services of the current example:
+
+.. code-block:: bash
+
+   $ docker compose down
+
+After that, you can repeat the steps above.
+
+Limitations
+-----------
+
+.. list-table::
+   :header-rows: 1
+
+   * - Quickstart Example
+     - Limitations
+   * - quickstart-fastai
+     - None
+   * - examples/quickstart-huggingface
+     - For CPU-only environments, it requires at least 32GB of memory.
+   * - quickstart-jax
+     - The example has not yet been updated to work with the latest ``flwr`` version.
+   * - quickstart-mlcube
+     - The example has not yet been updated to work with the latest ``flwr`` version.
+   * - quickstart-mlx
+     - `Requires to run on macOS with Apple Silicon <https://ml-explore.github.io/mlx/build/html/install.html#python-installation>`_.
+   * - quickstart-monai
+     - None
+   * - quickstart-pandas
+     - The example has not yet been updated to work with the latest ``flwr`` version.
+   * - quickstart-pytorch-lightning
+     - Requires an older pip version that is not supported by the Flower Docker images.
+   * - quickstart-pytorch
+     - None
+   * - quickstart-sklearn-tabular
+     - None
+   * - quickstart-tabnet
+     - The example has not yet been updated to work with the latest ``flwr`` version.
+   * - quickstart-tensorflow
+     - Only runs on AMD64.

doc/source/docker/tutorial-quickstart-docker-compose.rst

@@ -396,3 +396,8 @@ Remove all services and volumes:
 
    $ docker compose down -v
    $ docker compose -f certs.yml down -v
+
+Where to Go Next
+----------------
+
+* :doc:`run-quickstart-examples-docker-compose`