For federated learning to truly reduce incumbent advantage, won't newcomers still have to develop a platform attractive enough to entice device users to download their model and consent to data inspection? Or is the idea that Google or another large provider will be the point of entry for various algorithms to connect to the datastream, as a sort of cloud service? How many models can co-exist on one device?