ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1402.1515
  4. Cited By
Dictionary Learning over Distributed Models

Dictionary Learning over Distributed Models

6 February 2014
Jianshu Chen
Zaid J. Towfic
A. H. Sayed
    FedML
ArXivPDFHTML

Papers citing "Dictionary Learning over Distributed Models"

24 / 24 papers shown
Title
Distributed Continual Learning with CoCoA in High-dimensional Linear
  Regression
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
OOD
33
1
0
04 Dec 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low
  Communication and Sample Complexities
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
Zhuqing Liu
Xin Zhang
Songtao Lu
Jia-Wei Liu
32
7
0
05 Mar 2023
Differentially Private Decentralized Optimization with Relay
  Communication
Differentially Private Decentralized Optimization with Relay Communication
Luqing Wang
Luyao Guo
Shaofu Yang
Xinli Shi
13
0
0
21 Dec 2022
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
CLL
OOD
14
1
0
30 Nov 2022
Decentralized Complete Dictionary Learning via $\ell^{4}$-Norm
  Maximization
Decentralized Complete Dictionary Learning via ℓ4\ell^{4}ℓ4-Norm Maximization
Qiheng Lu
Lixiang Lian
15
1
0
07 Nov 2022
Stability and Generalization for Markov Chain Stochastic Gradient
  Methods
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
16
18
0
16 Sep 2022
GT-STORM: Taming Sample, Communication, and Memory Complexities in
  Decentralized Non-Convex Learning
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Xin Zhang
Jia Liu
Zhengyuan Zhu
Elizabeth S. Bentley
29
14
0
04 May 2021
A Multi-Agent Primal-Dual Strategy for Composite Optimization over
  Distributed Features
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features
Sulaiman A. Alghunaim
Ming Yan
A. H. Sayed
11
4
0
15 Jun 2020
Study of Diffusion Normalized Least Mean M-estimate Algorithms
Study of Diffusion Normalized Least Mean M-estimate Algorithms
Yi Yu
Hongsen He
Tao Yang
Xueyuan Wang
R. D. Lamare
26
0
0
20 Apr 2020
Improving the Sample and Communication Complexity for Decentralized
  Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach
Haoran Sun
Songtao Lu
Mingyi Hong
17
37
0
13 Oct 2019
Dynamic Average Diffusion with randomized Coordinate Updates
Dynamic Average Diffusion with randomized Coordinate Updates
Bicheng Ying
Kun Yuan
A. H. Sayed
17
6
0
21 Oct 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand
Ying Sun
G. Scutari
F. Facchinei
Brian M. Sadler
FedML
21
10
0
17 Aug 2018
Supervised Learning Under Distributed Features
Supervised Learning Under Distributed Features
Bicheng Ying
Kun Yuan
A. H. Sayed
9
43
0
29 May 2018
MBA: Mini-Batch AUC Optimization
MBA: Mini-Batch AUC Optimization
San Gultekin
A. Saha
A. Ratnaparkhi
John Paisley
28
22
0
29 May 2018
Walkman: A Communication-Efficient Random-Walk Algorithm for
  Decentralized Optimization
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
Xianghui Mao
Kun Yuan
Yubin Hu
Yuantao Gu
A. H. Sayed
W. Yin
16
55
0
18 Apr 2018
Distributed Dictionary Learning
Distributed Dictionary Learning
Amir Daneshmand
G. Scutari
F. Facchinei
FedML
13
9
0
21 Dec 2016
Diffusion LMS for Multitask Problems with Local Linear Equality
  Constraints
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints
Roula Nassif
C. Richard
A. Ferrari
A. H. Sayed
13
53
0
10 Oct 2016
Online Nonnegative Matrix Factorization with General Divergences
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao
Vincent Y. F. Tan
Huan Xu
18
29
0
30 Jul 2016
Online Nonnegative Matrix Factorization with Outliers
Online Nonnegative Matrix Factorization with Outliers
Renbo Zhao
Vincent Y. F. Tan
19
47
0
10 Apr 2016
Asynchronous adaptive networks
Asynchronous adaptive networks
A. H. Sayed
Xiaochuan Zhao
25
12
0
30 Nov 2015
On the Asymptotic Bias of the Diffusion-Based Distributed Pareto
  Optimization
On the Asymptotic Bias of the Diffusion-Based Distributed Pareto Optimization
Reza Arablouei
K. Doğançay
Stefan Werner
Yih-Fang Huang
26
2
0
13 Nov 2015
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big,
  Distributed Data
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
Haroon Raja
W. Bajwa
24
91
0
25 Dec 2014
On the Learning Behavior of Adaptive Networks - Part I: Transient
  Analysis
On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis
Jianshu Chen
A. H. Sayed
51
131
0
29 Dec 2013
Distributed Pareto Optimization via Diffusion Strategies
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen
A. H. Sayed
71
174
0
13 Aug 2012
1