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Multiple-Source Adaptation with Domain Classifiers

Aug 25, 2020
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang


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Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs

Aug 17, 2020
Antonious M. Girgis, Deepesh Data, Suhas Diggavi, Peter Kairouz, Ananda Theertha Suresh


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Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Aug 08, 2020
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh


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Learning discrete distributions: user vs item-level privacy

Jul 28, 2020
Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley

* 36 pages 

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Learning discrete distributions: user-lever vs item-level privacy

Jul 27, 2020
Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley

* 36 pages 

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A Theory of Multiple-Source Adaptation with Limited Target Labeled Data

Jul 19, 2020
Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu

* 20 pages 

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Relative Deviation Margin Bounds

Jun 26, 2020
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh

* 29 pages 

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Three Approaches for Personalization with Applications to Federated Learning

Feb 25, 2020
Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh

* 23 pages 

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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Can You Really Backdoor Federated Learning?

Dec 02, 2019
Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan

* To appear at the 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality at NeurIPS 2019 

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SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning

Oct 14, 2019
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh


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Differentially private anonymized histograms

Oct 08, 2019
Ananda Theertha Suresh

* 24 pages 

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Federated Learning of N-gram Language Models

Oct 08, 2019
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley

* 10 pages 

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AdaCliP: Adaptive Clipping for Private SGD

Aug 20, 2019
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar

* 18 pages 

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Optimal multiclass overfitting by sequence reconstruction from Hamming queries

Aug 08, 2019
Jayadev Acharya, Ananda Theertha Suresh


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Sampled Softmax with Random Fourier Features

Jul 24, 2019
Ankit Singh Rawat, Jiecao Chen, Felix Yu, Ananda Theertha Suresh, Sanjiv Kumar


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Approximating probabilistic models as weighted finite automata

May 21, 2019
Ananda Theertha Suresh, Brian Roark, Michael Riley, Vlad Schogol


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Agnostic Federated Learning

Feb 01, 2019
Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh

* 30 pages 

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WEST: Word Encoded Sequence Transducers

Nov 20, 2018
Ehsan Variani, Ananda Theertha Suresh, Mitchel Weintraub

* 12 pages 

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cpSGD: Communication-efficient and differentially-private distributed SGD

May 27, 2018
Naman Agarwal, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, H. Brendan Mcmahan


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Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition

Nov 15, 2017
Shankar Kumar, Michael Nirschl, Daniel Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix Yu

* Proceedings of ASRU 2017 
* Accepted at ASRU 2017 

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Federated Learning: Strategies for Improving Communication Efficiency

Oct 30, 2017
Jakub Konečný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, Dave Bacon


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Distributed Mean Estimation with Limited Communication

Sep 25, 2017
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan


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Model-Powered Conditional Independence Test

Sep 18, 2017
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

* 19 Pages, 2 figures, Accepted for publication in NIPS 2017 

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Sample complexity of population recovery

Jun 05, 2017
Yury Polyanskiy, Ananda Theertha Suresh, Yihong Wu

* Proceedings of COLT 2017 

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Maximum Selection and Ranking under Noisy Comparisons

May 15, 2017
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh


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A Unified Maximum Likelihood Approach for Optimal Distribution Property Estimation

Nov 28, 2016
Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh


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Orthogonal Random Features

Oct 28, 2016
Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Daniel Holtmann-Rice, Sanjiv Kumar

* NIPS 2016 

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Estimating Renyi Entropy of Discrete Distributions

Mar 10, 2016
Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, Himanshu Tyagi


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