COKE: Communication-Censored Decentralized Kernel Learning

28 January 2020

Papers citing "COKE: Communication-Censored Decentralized Kernel Learning"

10 / 10 papers shown

Title
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 53 298 0 25 May 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees H. Avron Michael Kapralov Cameron Musco Christopher Musco A. Velingker A. Zandieh 58 156 0 26 Apr 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 80 525 0 26 Oct 2017
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 46 79 0 13 Dec 2016
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 86 222 0 28 Oct 2016
AIDE: Fast and Communication Efficient Distributed Optimization Sashank J. Reddi Jakub Konecný Peter Richtárik Barnabás Póczós Alex Smola 53 151 0 24 Aug 2016
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 74 192 0 09 Jun 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 69 130 0 06 Jun 2015
Communication-Efficient Distributed Dual Coordinate Ascent Martin Jaggi Virginia Smith Martin Takáč Jonathan Terhorst S. Krishnan Thomas Hofmann Michael I. Jordan 84 353 0 04 Sep 2014
Analysis of a Reduced-Communication Diffusion LMS Algorithm Reza Arablouei Stefan Werner K. Doğançay Yih-Fang Huang 54 47 0 25 Aug 2014