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Brendan Avent
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2020 – today
- 2023
- [i4]Brendan Avent, Aleksandra Korolova:
Pushing the Boundaries of Private, Large-Scale Query Answering. CoRR abs/2302.04833 (2023) - 2021
- [j5]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, 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:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - 2020
- [j4]Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle:
Automatic Discovery of Privacy-Utility Pareto Fronts. Proc. Priv. Enhancing Technol. 2020(4): 5-23 (2020) - [j3]Brendan Avent, Yatharth Dubey, Aleksandra Korolova:
The Power of the Hybrid Model for Mean Estimation. Proc. Priv. Enhancing Technol. 2020(4): 48-68 (2020)
2010 – 2019
- 2019
- [j2]Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. J. Priv. Confidentiality 9(2) (2019) - [i3]Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle:
Automatic Discovery of Privacy-Utility Pareto Fronts. CoRR abs/1905.10862 (2019) - [i2]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. 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, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, 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:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2017
- [j1]Anna M. Ritz, Brendan Avent, T. M. Murali:
Pathway Analysis with Signaling Hypergraphs. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1042-1055 (2017) - [c1]Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. USENIX Security Symposium 2017: 747-764 - [i1]Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. CoRR abs/1705.00831 (2017)
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