It is reasonable to think of it that way. Certainly high-level information from the data is extracted and embedded within a model, but only the information necessary for the model being trained. Whereas if the data itself was being sent, then all of the information is available. Additionally, through added protections (differential privacy being one) it is possible to engineer the federated system such that the data itself can not be reconstructed from model itself.