Is anyone aware of Wolfram working on adding support for federated learning for model training or any external packages for this purpose?

With Wolfram's great support for the cloud and for the ease at which one can move data between client and cloud, the ability to aggregate parameters from multiple independently trained models would be a killer application for Wolfram, particularly when moving local datasets is inefficient or in highly regulated environments where data sharing is problematic.