עקוב אחר
Ananda Theertha Suresh
Ananda Theertha Suresh
Google Research, New York
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
65032021
Federated Learning: Strategies for Improving Communication Efficiency‏
J Konečný‏
arXiv preprint arXiv:1610.05492, 2016‏
57822016
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
29932020
Agnostic federated learning‏
M Mohri, G Sivek, AT Suresh‏
International conference on machine learning, 4615-4625, 2019‏
10512019
Can you really backdoor federated learning?‏
Z Sun, P Kairouz, AT Suresh, HB McMahan‏
arXiv preprint arXiv:1911.07963, 2019‏
6642019
Three approaches for personalization with applications to federated learning‏
Y Mansour, M Mohri, J Ro, AT Suresh‏
arXiv preprint arXiv:2002.10619, 2020‏
6562020
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
5432018
Distributed mean estimation with limited communication‏
AT Suresh, XY Felix, S Kumar, HB McMahan‏
International conference on machine learning, 3329-3337, 2017‏
3962017
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
3812021
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
300*2021
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
2812019
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
2542021
Orthogonal random features‏
XY Felix, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar‏
Advances in Neural Information Processing Systems, 1975-1983, 2016‏
251*2016
Fedboost: A communication-efficient algorithm for federated learning‏
J Hamer, M Mohri, AT Suresh‏
International Conference on Machine Learning, 3973-3983, 2020‏
2462020
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
2042021
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
1482016
On learning distributions from their samples‏
S Kamath, A Orlitsky, D Pichapati, AT Suresh‏
Conference on Learning Theory, 1066-1100, 2015‏
1402015
Adaclip: Adaptive clipping for private sgd‏
V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar‏
arXiv preprint arXiv:1908.07643, 2019‏
1382019
Competitive distribution estimation: Why is good-turing good‏
A Orlitsky, AT Suresh‏
Advances in Neural Information Processing Systems 28, 2015‏
1072015
Model-powered conditional independence test‏
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai‏
Advances in neural information processing systems 30, 2017‏
1052017
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מאמרים 1–20