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Peter Kairouz
Peter Kairouz
Research Scientist, Google
Geverifieerd e-mailadres voor google.com - Homepage
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Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021
19272021
The composition theorem for differential privacy
P Kairouz, S Oh, P Viswanath
IEEE Transactions on Information Theory 63 (6), 4037-4049, 2017
4252017
Extremal mechanisms for local differential privacy
P Kairouz, S Oh, P Viswanath
The Journal of Machine Learning Research 17 (1), 492-542, 2016
4132016
Discrete distribution estimation under local privacy
P Kairouz, K Bonawitz, D Ramage
International Conference on Machine Learning, 2436-2444, 2016
2302016
Can you really backdoor federated learning?
Z Sun, P Kairouz, AT Suresh, HB McMahan
arXiv preprint arXiv:1911.07963, 2019
1822019
The staircase mechanism in differential privacy
Q Geng, P Kairouz, S Oh, P Viswanath
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1176-1184, 2015
1242015
A general approach to adding differential privacy to iterative training procedures
HB McMahan, G Andrew, U Erlingsson, S Chien, I Mironov, N Papernot, ...
arXiv preprint arXiv:1812.06210, 2018
1212018
Context-aware generative adversarial privacy
C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal
Entropy 19 (12), 656, 2017
1192017
Dp-cgan: Differentially private synthetic data and label generation
R Torkzadehmahani, P Kairouz, B Paten
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
992019
Generative models for effective ML on private, decentralized datasets
S Augenstein, HB McMahan, D Ramage, S Ramaswamy, P Kairouz, ...
arXiv preprint arXiv:1911.06679, 2019
872019
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
822021
Spy vs. spy: Rumor source obfuscation
G Fanti, P Kairouz, S Oh, P Viswanath
Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015
692015
Generative adversarial privacy
C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal
arXiv preprint arXiv:1807.05306, 2018
522018
Federated heavy hitters discovery with differential privacy
W Zhu, P Kairouz, B McMahan, H Sun, W Li
International Conference on Artificial Intelligence and Statistics, 3837-3847, 2020
482020
Breaking the communication-privacy-accuracy trilemma
WN Chen, P Kairouz, A Ozgur
Advances in Neural Information Processing Systems 33, 3312-3324, 2020
462020
Hiding the rumor source
G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath
IEEE Transactions on Information theory 63 (10), 6679-6713, 2017
442017
Shuffled model of differential privacy in federated learning
A Girgis, D Data, S Diggavi, P Kairouz, AT Suresh
International Conference on Artificial Intelligence and Statistics, 2521-2529, 2021
412021
Secure multi-party differential privacy
P Kairouz, S Oh, P Viswanath
Advances in neural information processing systems 28, 2015
402015
The distributed discrete gaussian mechanism for federated learning with secure aggregation
P Kairouz, Z Liu, T Steinke
International Conference on Machine Learning, 5201-5212, 2021
392021
On the optimality of the Kautz-Singleton construction in probabilistic group testing
HA Inan, P Kairouz, M Wootters, A Özgür
IEEE Transactions on Information Theory 65 (9), 5592-5603, 2019
332019
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Artikelen 1–20