Wyner-Ziv Estimators for Distributed Mean Estimation with Side
Information and Optimization

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Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization

24 November 2020

Prathamesh Mayekar

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Papers citing "Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization"

16 / 16 papers shown

Title
Correlated quantization for distributed mean estimation and optimization A. Suresh Ziteng Sun Jae Hun Ro Felix X. Yu 83 12 0 09 Mar 2022
Wyner-Ziv Gradient Compression for Federated Learning Kai Liang Huiru Zhong Haoning Chen Youlong Wu FedML 44 8 0 16 Nov 2021
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning Divyansh Jhunjhunwala Advait Gadhikar Gauri Joshi Yonina C. Eldar FedML MQ 57 110 0 08 Feb 2021
Adaptive Gradient Quantization for Data-Parallel SGD Fartash Faghri Iman Tabrizian I. Markov Dan Alistarh Daniel M. Roy Ali Ramezani-Kebrya MQ 61 83 0 23 Oct 2020
Breaking the Communication-Privacy-Accuracy Trilemma Wei-Ning Chen Peter Kairouz Ayfer Özgür 121 120 0 22 Jul 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD Yucheng Lu Christopher De Sa MQ 50 50 0 26 Feb 2020
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor M. Safaryan Egor Shulgin Peter Richtárik 71 61 0 20 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 266 6,285 0 10 Dec 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations Debraj Basu Deepesh Data C. Karakuş Suhas Diggavi MQ 63 406 0 06 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 90 323 0 31 May 2019
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 95 528 0 26 Oct 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 163 990 0 22 May 2017
Distributed Mean Estimation with Limited Communication A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 129 366 0 02 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 309 4,655 0 18 Oct 2016
Optimality guarantees for distributed statistical estimation John C. Duchi Michael I. Jordan Martin J. Wainwright Yuchen Zhang 88 65 0 05 May 2014
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization Alekh Agarwal Peter L. Bartlett Pradeep Ravikumar Martin J. Wainwright 205 251 0 03 Sep 2010

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