Example of encrypted learning with partial_fit models

Hi developers, I am unfortunately not in the position to write it myself due to other obligations.

Despite that, I wanted to share the tutorial below I came across on HN. Perhaps someone is interested in recreating this tutorial with the `partial_fit ` methods as used in http://ml.dask.org/incremental.html

I think it's a great example that showcases the power of incremental learning models in a time where Privacy is getting more and more relevant.

https://github.com/OpenMined/PySyft/tree/master/examples/tutorials

Kind regards.

Review the linked PySyft examples/tutorials and the Dask-ML incremental-learning page first; the issue does not identify a target file or test. Define the encrypted partial_fit example's scope and location, then verify that the completed tutorial reproducibly demonstrates encrypted incremental learning.

Written by the indexing model from the issue text.