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• W2913570153 abstract "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. In this paper, we describe the resulting high-level design, sketch some of the challenges and their solutions, and touch upon the open problems and future directions." @default.
• W2913570153 created "2019-02-21" @default.
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• W2913570153 date "2019-02-04" @default.
• W2913570153 modified "2023-10-06" @default.
• W2913570153 title "Towards Federated Learning at Scale: System Design" @default.
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• W2913570153 hasPublicationYear "2019" @default.
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