Ananda Theertha Suresh
Ananda Theertha Suresh
Senior Research Scientist, Google New York
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
15212016
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
7872019
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
216*2020
Agnostic federated learning
M Mohri, G Sivek, AT Suresh
International Conference on Machine Learning, 4615-4625, 2019
2142019
cpSGD: Communication-efficient and differentially-private distributed SGD
N Agarwal, AT Suresh, F Yu, S Kumar, HB Mcmahan
arXiv preprint arXiv:1805.10559, 2018
1842018
Distributed mean estimation with limited communication
AT Suresh, XY Felix, S Kumar, HB McMahan
International Conference on Machine Learning, 3329-3337, 2017
1592017
Orthogonal random features
XY Felix, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar
Advances in Neural Information Processing Systems, 1975-1983, 2016
142*2016
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
1082016
On learning distributions from their samples
S Kamath, A Orlitsky, D Pichapati, AT Suresh
Conference on Learning Theory, 1066-1100, 2015
872015
Can you really backdoor federated learning?
Z Sun, P Kairouz, AT Suresh, HB McMahan
arXiv preprint arXiv:1911.07963, 2019
772019
Three approaches for personalization with applications to federated learning
Y Mansour, M Mohri, J Ro, AT Suresh
arXiv preprint arXiv:2002.10619, 2020
762020
The complexity of estimating Rényi entropy
J Acharya, A Orlitsky, AT Suresh, H Tyagi
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014
702014
Near-optimal-sample estimators for spherical gaussian mixtures
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
arXiv preprint arXiv:1402.4746, 2014
702014
Competitive Distribution Estimation: Why is Good-Turing Good.
A Orlitsky, AT Suresh
NIPS, 2143-2151, 2015
672015
Estimating Rényi entropy of discrete distributions
J Acharya, A Orlitsky, AT Suresh, H Tyagi
IEEE Transactions on Information Theory 63 (1), 38-56, 2016
592016
Strong secrecy for erasure wiretap channels
AT Suresh, A Subramanian, A Thangaraj, M Bloch, SW McLaughlin
2010 IEEE Information Theory Workshop, 1-5, 2010
532010
Multiscale quantization for fast similarity search
X Wu, R Guo, AT Suresh, S Kumar, DN Holtmann-Rice, D Simcha, F Yu
Advances in Neural Information Processing Systems 30, 5745-5755, 2017
452017
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
arXiv preprint arXiv:1709.06138, 2017
402017
Competitive classification and closeness testing
J Acharya, H Das, A Jafarpour, A Orlitsky, S Pan, A Suresh
Conference on Learning Theory, 22.1-22.18, 2012
392012
A unified maximum likelihood approach for estimating symmetric properties of discrete distributions
J Acharya, H Das, A Orlitsky, AT Suresh
International Conference on Machine Learning, 11-21, 2017
35*2017
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