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Badih Ghazi

Locally Private k-Means in One Round

Apr 20, 2021
Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi

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* 34 pages

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On Deep Learning with Label Differential Privacy

Feb 11, 2021
Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang

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* 26 pages, 4 figures

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On Avoiding the Union Bound When Answering Multiple Differentially Private Queries

Dec 16, 2020
Badih Ghazi, Ravi Kumar, Pasin Manurangsi

* 12 pages

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Sample-efficient proper PAC learning with approximate differential privacy

Dec 07, 2020
Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi

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* 40 pages

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On Distributed Differential Privacy and Counting Distinct Elements

Sep 21, 2020
Lijie Chen, Badih Ghazi, Ravi Kumar, Pasin Manurangsi

* 68 pages, 4 algorithms

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Differentially Private Clustering: Tight Approximation Ratios

Aug 18, 2020
Badih Ghazi, Ravi Kumar, Pasin Manurangsi

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* 60 pages, 1 table

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Near-tight closure bounds for Littlestone and threshold dimensions

Jul 07, 2020
Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi

* 7 pages

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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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