دنبال کردن
Ananda Theertha Suresh
Ananda Theertha Suresh
Google Research, New York
ایمیل تأیید شده در google.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
71082021
Federated learning: Strategies for improving communication efficiency‏
J Konečný, HB McMahan, FX Yu, P Richtárik, AT Suresh, D Bacon‏
arXiv preprint arXiv:1610.05492, 2016‏
61102016
Scaffold: Stochastic controlled averaging for federated learning‏
SP Karimireddy, S Kale, M Mohri, S Reddi, S Stich, AT Suresh‏
International conference on machine learning, 5132-5143, 2020‏
32912020
Agnostic federated learning‏
M Mohri, G Sivek, AT Suresh‏
International conference on machine learning, 4615-4625, 2019‏
11072019
Can you really backdoor federated learning?‏
Z Sun, P Kairouz, AT Suresh, HB McMahan‏
arXiv preprint arXiv:1911.07963, 2019‏
7152019
Three approaches for personalization with applications to federated learning‏
Y Mansour, M Mohri, J Ro, AT Suresh‏
arXiv preprint arXiv:2002.10619, 2020‏
6972020
cpSGD: Communication-efficient and differentially-private distributed SGD‏
N Agarwal, AT Suresh, FXX Yu, S Kumar, B McMahan‏
Advances in Neural Information Processing Systems 31, 2018‏
5622018
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
4122021
Distributed mean estimation with limited communication‏
AT Suresh, XY Felix, S Kumar, HB McMahan‏
International conference on machine learning, 3329-3337, 2017‏
4042017
Breaking the centralized barrier for cross-device federated learning‏
SP Karimireddy, M Jaggi, S Kale, M Mohri, S Reddi, SU Stich, AT Suresh‏
Advances in Neural Information Processing Systems 34, 28663-28676, 2021‏
326*2021
Remember what you want to forget: Algorithms for machine unlearning‏
A Sekhari, J Acharya, G Kamath, AT Suresh‏
Advances in Neural Information Processing Systems 34, 18075-18086, 2021‏
2962021
Scaffold: Stochastic controlled averaging for on-device federated learning‏
SP Karimireddy, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh‏
arXiv preprint arXiv:1910.06378 2 (6), 2019‏
2952019
Fedboost: A communication-efficient algorithm for federated learning‏
J Hamer, M Mohri, AT Suresh‏
International Conference on Machine Learning, 3973-3983, 2020‏
2642020
Orthogonal random features‏
XY Felix, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar‏
Advances in Neural Information Processing Systems, 1975-1983, 2016‏
258*2016
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
2242021
Optimal prediction of the number of unseen species‏
A Orlitsky, AT Suresh, Y Wu‏
Proceedings of the National Academy of Sciences 113 (47), 13283-13288, 2016‏
1542016
On learning distributions from their samples‏
S Kamath, A Orlitsky, D Pichapati, AT Suresh‏
Conference on Learning Theory, 1066-1100, 2015‏
1452015
Adaclip: Adaptive clipping for private sgd‏
V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar‏
arXiv preprint arXiv:1908.07643, 2019‏
1442019
Model-powered conditional independence test‏
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai‏
Advances in neural information processing systems 30, 2017‏
1102017
Competitive distribution estimation: Why is good-turing good‏
A Orlitsky, AT Suresh‏
Advances in Neural Information Processing Systems 28, 2015‏
1062015
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20