Add documentation for APPFL+MONAI integration to do federated learning (

#1941)

### Description

In this pull request, I added documentation for the APPFL+MONAI
integration to do federated learning.

### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Avoid including large-size files in the PR.
- [x] Clean up long text outputs from code cells in the notebook.
- [x] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [x] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`

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Signed-off-by: Zilinghan <[email protected]>

federated_learning/appfl/README.md

@@ -0,0 +1,3 @@
+# Federated learning with APPFL
+
+The Advanced Privacy Preserving Federated Learning framework, [APPFL](https://github.com/APPFL/APPFL), provides an example on how to use its `MonaiTrainer` to train federated learning models using MONAI's [FL components](https://docs.monai.io/en/latest/fl.html). The tutorial is available at [here](https://appfl.ai/en/latest/tutorials/examples_monai.html).