Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big,
Distributed Data

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Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data

25 December 2014

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Papers citing "Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data"

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Title
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Jun Chen Lina Liu T. Zhu Yong Liu Guang Dai Yunliang Jiang Ivor Tsang 16 0 0 09 Jun 2025
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold Jun Chen Haishan Ye Mengmeng Wang Tianxin Huang Guangwen Dai Ivor W.Tsang Yang Liu 55 13 0 21 Aug 2023
Cloud K-SVD for Image Denoising Christian Marius Lillelund Henrik Bagger Jensen Christian Fischer Pedersen 45 4 0 01 Mar 2023
On the convergence result of the gradient-push algorithm on directed graphs with constant stepsize Woocheol Choi Doheon Kim S. Yun 65 1 0 17 Feb 2023
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints Lei Wang Xin Liu 121 8 0 29 Aug 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 94 17 0 27 Aug 2021
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation Arpita Gang Bingqing Xiang W. Bajwa 58 14 0 11 Mar 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 81 45 0 14 Feb 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate Haishan Ye Tong Zhang 76 26 0 08 Feb 2021
On the Local Linear Rate of Consensus on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 61 14 0 22 Jan 2021
A Linearly Convergent Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 100 24 0 05 Jan 2021
One-shot Distributed Algorithm for Generalized Eigenvalue Problem Kexin Lv Fan He Xiaolin Huang Jie Yang Zheng Sun 49 0 0 22 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 89 137 0 18 Oct 2020
Efficient and Parallel Separable Dictionary Learning Cristian Rusu Paul Irofti 27 0 0 07 Jul 2020
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs Muhammad I. Qureshi Ran Xin S. Kar U. Khan 92 33 0 15 May 2020
Distributed stochastic optimization with gradient tracking over strongly-connected networks Ran Xin Anit Kumar Sahu U. Khan S. Kar 82 113 0 18 Mar 2019
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning Zhixiong Yang W. Bajwa OOD 81 134 0 28 Aug 2017
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model Linxiao Yang Jun Fang Hong Cheng Hongbin Li 36 33 0 07 Mar 2015