Geo-Location and possibly more metadata

[gmuraru]

Try to use federated learning to train only on a part of the workers where are in in "similar area".
Ideas:

• use a worker as a central point and then use federated learning taking into account only the workers that are under a specific radius.

How to know where a worker is located:

• We have to simulate the location
• We can keep the location for the workers in the Grid or keep it as a tensor "tagged" with "metadata" where we can keep a lot more information.

In Syft we send tensors using:

Ex: torch.Tensor([32, 42]).tag("metadata", "location).send(alice)

We can do the above to tag a tensor with two tags