I think there is a blend there. Think of this: if you want to train a fancy ML Algo, you need to download everything. But once you have the model trained (and integrated into an Algo) then it should be sitting either in the relay and deciding whether to relay or to discard or in the client to locally store or drop. In the relay it might be more effective because it saves bandwidth.