Correlated quantization for distributed mean estimation and optimization

9 March 2022

Papers citing "Correlated quantization for distributed mean estimation and optimization"

5 / 5 papers shown

Title
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 13 19 0 17 Oct 2023
Collaboratively Learning Linear Models with Structured Missing Data Chen Cheng Gary Cheng John C. Duchi FedML 9 2 0 22 Jul 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik Wei-Ning Chen Ayfer Özgür Tsachy Weissman Albert No 36 19 0 08 Jun 2023
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization Rafal Szlendak A. Tyurin Peter Richtárik 113 35 0 07 Oct 2021
DRIVE: One-bit Distributed Mean Estimation S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher OOD FedML 66 51 0 18 May 2021