Daniel Ramage
Daniel has been at Google since 2011 focusing on federated learning and privacy technologies. Additional publications available on Google Scholar.
Authored Publications
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Google
Generative Models for Effective ML on Private, Decentralized Datasets
8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, OpenReview.net
Context-Aware Local Differential Privacy
Jayadev Acharya
Ziteng Sun
International Conference on Machine Learning (ICML) (2020)
Federated Learning for Mobile Keyboard Prediction
Chloé M Kiddon
Hubert Eichner
(2019)
Advances and Open Problems in Federated Learning
Brendan Avent
Aurélien Bellet
Mehdi Bennis
Arjun Nitin Bhagoji
Graham Cormode
Rachel Cummings
Rafael G.L. D'Oliveira
Salim El Rouayheb
David Evans
Josh Gardner
Adrià Gascón
Phillip B. Gibbons
Marco Gruteser
Zaid Harchaoui
Chaoyang He
Lie He
Zhouyuan Huo
Justin Hsu
Martin Jaggi
Tara Javidi
Gauri Joshi
Mikhail Khodak
Jakub Konečný
Aleksandra Korolova
Farinaz Koushanfar
Sanmi Koyejo
Tancrède Lepoint
Yang Liu
Prateek Mittal
Richard Nock
Ayfer Özgür
Rasmus Pagh
Ramesh Raskar
Dawn Song
Weikang Song
Sebastian U. Stich
Ziteng Sun
Florian Tramèr
Praneeth Vepakomma
Jianyu Wang
Li Xiong
Qiang Yang
Felix X. Yu
Han Yu
Arxiv (2019)
Federated Evaluation of On-device Personalization
Chloé M Kiddon
Hubert Eichner
Kangkang Wang
(2019)
Towards Federated Learning at Scale: System Design
Hubert Eichner
Wolfgang Grieskamp
Dzmitry Huba
Vladimir Ivanov
Chloé M Kiddon
Jakub Konečný
Stefano Mazzocchi
Timon Van Overveldt
David Petrou
Jason Roselander
SysML 2019
Learning Differentially Private Recurrent Language Models
Kunal Talwar
Li Zhang
International Conference on Learning Representations (ICLR) (2018)
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Galen Andrew
Hubert Eichner
Haicheng Sun
Wei Li
Nicholas Kong
(2018)
Federated Learning for Mobile Keyboard Prediction
Chloé M Kiddon
Hubert Eichner
(2018)
