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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Data Generation for Neural Programming by Example


Nov 06, 2019
Judith Clymo, Haik Manukian, Nathanaël Fijalkow, Adrià Gascón, Brooks Paige


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Private Protocols for U-Statistics in the Local Model and Beyond


Oct 09, 2019
James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni


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QUOTIENT: Two-Party Secure Neural Network Training and Prediction


Jul 08, 2019
Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adrià Gascón


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TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service


Jun 09, 2018
Amartya Sanyal, Matt J. Kusner, Adrià Gascón, Varun Kanade

* Accepted at International Conference in Machine Learning (ICML), 2018 

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Blind Justice: Fairness with Encrypted Sensitive Attributes


Jun 08, 2018
Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller

* Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2630-2639, 2018 
* published at ICML 2018 

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