Peter Kairouz

Alıntı yapanlar

	Hepsi	2019 yılından bugüne
Alıntılar	14089	13623
h-endeksi	38	37
i10-endeksi	67	65

4100

2050

1025

3075

20162017201820192020202120222023202487 121 192 328 860 1755 2842 3684 4036

Genel erişim

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28 makale

2 makale

genel erişime açık olanlar

genel erişime açık olmayanlar

Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

H. Brendan McMahanResearch Scientist, Google Seattlegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Pramod ViswanathForrest G. Hamrick Professor in Engineeringprinceton.edu üzerinde doğrulanmış e-posta adresine sahip
Daniel RamageGoogle Researchgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Ayfer OzgurAssociate Professor of Electrical Engineering, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Lalitha SankarProfessor, School of Electrical, Computer and Energy Engineering, Arizona State Universityasu.edu üzerinde doğrulanmış e-posta adresine sahip
Kallista A. BonawitzGooglegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Ram RajagopalAssociate Professor, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Giulia FantiCarnegie Mellon University, ECE Departmentandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC Berkeleyeecs.berkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Ahmed K SadekVP, Engineering. Chief System Architect Automated Driving at Qualcommqti.qualcomm.com üzerinde doğrulanmış e-posta adresine sahip
Quan GengGoogle Research, UIUCcitadel.com üzerinde doğrulanmış e-posta adresine sahip
Mary WoottersStanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Nachiappan ValliappanGoogle Inc.google.com üzerinde doğrulanmış e-posta adresine sahip
Andrew C. SingerDean, College of Engineering and Applied Sciences, Stony Brook Universitystonybrook.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Peter Kairouz

Research Scientist, Google

google.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Differential Privacy Federated Learning Artificial Intelligence Machine Learning Information Theory


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	6565	2021
The composition theorem for differential privacy P Kairouz, S Oh, P Viswanath IEEE Transactions on Information Theory 63 (6), 4037-4049, 2017	822	2017
Extremal mechanisms for local differential privacy P Kairouz, S Oh, P Viswanath Journal of Machine Learning Research 17 (17), 1-51, 2016	683	2016
Can you really backdoor federated learning? Z Sun, P Kairouz, AT Suresh, HB McMahan arXiv preprint arXiv:1911.07963, 2019	660	2019
Discrete distribution estimation under local privacy P Kairouz, K Bonawitz, D Ramage International Conference on Machine Learning, 2436-2444, 2016	389	2016
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	382	2021
Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning V Shejwalkar, A Houmansadr, P Kairouz, D Ramage 2022 IEEE Symposium on Security and Privacy (SP), 1354-1371, 2022	306	2022
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	276	2019
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	252	2021
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	227	2018
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	222	2019
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	207	2021
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021	203	2021
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	191	2015
Practical and private (deep) learning without sampling or shuffling P Kairouz, B McMahan, S Song, O Thakkar, A Thakurta, Z Xu International Conference on Machine Learning, 5213-5225, 2021	187	2021
Context-aware generative adversarial privacy C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal Entropy 19 (12), 656, 2017	181	2017
The skellam mechanism for differentially private federated learning N Agarwal, P Kairouz, Z Liu Advances in Neural Information Processing Systems 34, 5052-5064, 2021	137	2021
Breaking the communication-privacy-accuracy trilemma WN Chen, P Kairouz, A Ozgur Advances in Neural Information Processing Systems 33, 3312-3324, 2020	129	2020
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	121	2020
Privacy-first health research with federated learning A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ... NPJ digital medicine 4 (1), 132, 2021	111	2021

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