Federated Learning at Google and Beyond

Peter Kairouz Research Scientist, Google Abstract Federated Learning enables mobile devices to collaboratively learn a shared prediction model or analytic while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. It embodies the principles of focused collection and data minimization, and can mitigate many of the systemic privacy risks and costs resulting from traditional, centralized machine learning. In this talk, I will disc