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Federated Learning
So kind of in the context of hardware, you're looking at federated learning. I'm curious when you think about federated learning, or most of your efforts focused on what I think of as kind of algorithmic elements of federatedlearning. Can we how do we make our models differentially private? That's one angle to it federated learning where the full ambit of federated learning actually is also eventually doing training on device.