papers
Publications (8)
cs.LG2019
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp +11
cs.LG2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub KoneÄný, H. Brendan McMahan, Daniel Ramage +1
cs.LG2018
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan, Daniel Ramage, Kunal Talwar +1
cs.LG2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang, Galen Andrew, Hubert Eichner +5
cs.LG2015
Federated Optimization:Distributed Optimization Beyond the Datacenter
Jakub KoneÄný, Brendan McMahan, Daniel Ramage
cs.CL2019
Federated Learning for Mobile Keyboard Prediction
Andrew Hard, Kanishka Rao, Rajiv Mathews +6
stat.ML2016
Discrete Distribution Estimation under Local Privacy
Peter Kairouz, Keith Bonawitz, Daniel Ramage
cs.CR2016
Practical Secure Aggregation for Federated Learning on User-Held Data
Keith Bonawitz, Vladimir Ivanov, Ben Kreuter +6