Towards Federated Learning at Scale: System Design

4 Feb 2019Keith BonawitzHubert EichnerWolfgang GrieskampDzmitry HubaAlex IngermanVladimir IvanovChloe KiddonJakub KonečnýStefano MazzocchiH. Brendan McMahanTimon Van OverveldtDavid PetrouDaniel RamageJason Roselander

Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data. We have built a scalable production system for Federated Learning in the domain of mobile devices, based on TensorFlow... (read more)

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