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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu


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Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces


May 12, 2021
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank Reddi, Sanjiv Kumar

* To appear in ICML 2021 

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Federated Learning with Only Positive Labels


Apr 21, 2020
Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar


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Pre-training Tasks for Embedding-based Large-scale Retrieval


Feb 10, 2020
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar

* Accepted by ICLR 2020 

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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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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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The Sparse Recovery Autoencoder


Jul 05, 2018
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

* 23 pages, 8 figures 

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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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Learning Spread-out Local Feature Descriptors


Aug 21, 2017
Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang

* ICCV 2017. 9 pages, 7 figures 

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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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On Binary Embedding using Circulant Matrices


Dec 05, 2015
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang

* This is an extended version of a paper by the first, third, fourth and fifth authors that appeared in ICML 2014 [arXiv:1405.3162] 

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An exploration of parameter redundancy in deep networks with circulant projections


Oct 27, 2015
Yu Cheng, Felix X. Yu, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang

* International Conference on Computer Vision (ICCV) 2015 

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Compact Nonlinear Maps and Circulant Extensions


Mar 12, 2015
Felix X. Yu, Sanjiv Kumar, Henry Rowley, Shih-Fu Chang


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On Learning from Label Proportions


Feb 11, 2015
Felix X. Yu, Krzysztof Choromanski, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang


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Circulant Binary Embedding


May 13, 2014
Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang

* ICML 2014 

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$\propto$SVM for learning with label proportions


Jun 04, 2013
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang

* Appears in Proceedings of the 30th International Conference on Machine Learning (ICML 2013) 

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