Particularly relevant: "Federated Learning allows for smarter models ... all while ensuring privacy". Reading the paper, Google would still receive model updates, so this statement seems based on assumption that you can't learn anything meaningful about me based on those higher level features (which are far reduced in dimensionality from the raw data). I'm curious how they back up that argument.