The missing collaborative-learning layer
MCP and Arazzo standardise interaction and workflow composition, but neither defines how remote parties train or evaluate a shared model while keeping data local. That is a distinct architectural layer — the federation layer — which federated learning frameworks such as Flower make explicit.