> For the complete documentation index, see [llms.txt](https://docs.feltlabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.feltlabs.ai/use-cases/for-researches.md).

# For Researches

There are different ways how to get started with FELT. To start, we recommend going through:

{% content-ref url="/pages/Hz6nGYjiYXj0xjyUuIfz" %}
[Complete Getting Started](/guides/getting-started.md)
{% endcontent-ref %}

This guide should give you an idea of the basic workflow of FELT and how to use it.

## Local Experiments

If you want to quickly experiment with the FELT library and training models in a federated setting locally. You can explore our demo using MNIST dataset. This code demonstrates how to locally run and evaluate different models using FELT.

{% embed url="<https://github.com/FELT-Labs/mnist-demo>" %}

You can also check out our anomaly detection demo on manufacturing data.

{% embed url="<https://github.com/FELT-Labs/anomaly-detection>" %}