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Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
IEEE Transactions on Signal Processing (IEEE TSP), 2014
25 December 2014
Haroon Raja
W. Bajwa
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Papers citing
"Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data"
20 / 20 papers shown
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking
IEEE Transactions on Signal Processing (IEEE TSP), 2025
Jun Chen
Lina Liu
T. Zhu
Yong Liu
Guang Dai
Yunliang Jiang
Ivor Tsang
158
1
0
09 Jun 2025
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
International Conference on Learning Representations (ICLR), 2023
Jun Chen
Haishan Ye
Mengmeng Wang
Tianxin Huang
Guangwen Dai
Ivor W.Tsang
Wenshu Fan
246
20
0
21 Aug 2023
Cloud K-SVD for Image Denoising
SN Computer Science (SN Comput. Sci.), 2022
Christian Marius Lillelund
Henrik Bagger Jensen
Christian Fischer Pedersen
181
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
357
3
0
17 Feb 2023
Decentralized Complete Dictionary Learning via
ℓ
4
\ell^{4}
ℓ
4
-Norm Maximization
Qiheng Lu
Lixiang Lian
195
1
0
07 Nov 2022
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
Journal of Industrial and Management Optimization (JIMO), 2022
Lei Wang
Xin Liu
265
9
0
29 Aug 2022
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2022
Muhammad I. Qureshi
Ran Xin
S. Kar
U. Khan
203
5
0
07 Feb 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Arpita Gang
W. Bajwa
268
21
0
27 Aug 2021
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021
Arpita Gang
Bingqing Xiang
W. Bajwa
279
14
0
11 Mar 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
International Conference on Machine Learning (ICML), 2021
Shixiang Chen
Alfredo García
Mingyi Hong
Shahin Shahrampour
277
63
0
14 Feb 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Journal of machine learning research (JMLR), 2021
Haishan Ye
Tong Zhang
191
34
0
08 Feb 2021
On the Local Linear Rate of Consensus on the Stiefel Manifold
IEEE Transactions on Automatic Control (IEEE TAC), 2021
Shixiang Chen
Alfredo García
Mingyi Hong
Shahin Shahrampour
192
20
0
22 Jan 2021
A Linearly Convergent Algorithm for Distributed Principal Component Analysis
Signal Processing (Signal Process.), 2021
Arpita Gang
W. Bajwa
592
27
0
05 Jan 2021
One-shot Distributed Algorithm for Generalized Eigenvalue Problem
Kexin Lv
Fan He
Xiaolin Huang
Jie Yang
Zheng Sun
208
0
0
22 Oct 2020
Federated Unsupervised Representation Learning
Frontiers of Information Technology & Electronic Engineering (FITEE), 2020
Tai-wei Chang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
339
165
0
18 Oct 2020
Efficient and Parallel Separable Dictionary Learning
International Conference on Parallel and Distributed Systems (ICPADS), 2020
Cristian Rusu
Paul Irofti
350
0
0
07 Jul 2020
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs
Muhammad I. Qureshi
Ran Xin
S. Kar
U. Khan
317
47
0
15 May 2020
Distributed stochastic optimization with gradient tracking over strongly-connected networks
IEEE Conference on Decision and Control (CDC), 2019
Ran Xin
Anit Kumar Sahu
U. Khan
S. Kar
384
120
0
18 Mar 2019
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang
W. Bajwa
OOD
388
153
0
28 Aug 2017
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model
Linxiao Yang
Jun Fang
Hong Cheng
Hongbin Li
200
34
0
07 Mar 2015
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