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. 1311.4894
  4. Cited By
Multitask Diffusion Adaptation over Networks

Multitask Diffusion Adaptation over Networks

2 November 2013
Jie Chen
C. Richard
Ali H. Sayed
ArXiv (abs)PDFHTML

Papers citing "Multitask Diffusion Adaptation over Networks"

46 / 46 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
83
1
0
04 Dec 2023
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over
  Adaptive Networks
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks
Soheila Ashkezari-Toussi
H. Yazdi
DiffM
18
0
0
03 Dec 2023
Personalized Graph Federated Learning with Differential Privacy
Personalized Graph Federated Learning with Differential Privacy
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
70
8
0
10 Jun 2023
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
CLLOOD
77
1
0
30 Nov 2022
Quantization for decentralized learning under subspace constraints
Quantization for decentralized learning under subspace constraints
Roula Nassif
Stefan Vlaski
Marco Carpentiero
Vincenzo Matta
Marc Antonini
Ali H. Sayed
90
30
0
16 Sep 2022
A Distributed Diffusion Kalman Filter In Multitask Networks
A Distributed Diffusion Kalman Filter In Multitask Networks
I. A. Chikwendu
Kulevome Delanyo Kwame Bensah
C. Ukwuoma
C. Ejiyi
45
0
0
07 Jul 2022
Design and Analysis of Robust Resilient Diffusion over Multi-Task
  Networks Against Byzantine Attacks
Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
Tao Yu
R. D. Lamare
Yi Yu
OODAAML
57
0
0
25 Jun 2022
Decentralized Multi-Task Stochastic Optimization With Compressed
  Communications
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
Navjot Singh
Xuanyu Cao
Suhas Diggavi
Tamer Basar
62
9
0
23 Dec 2021
Byzantine Resilient Distributed Multi-Task Learning
Byzantine Resilient Distributed Multi-Task Learning
Jiani Li
W. Abbas
X. Koutsoukos
41
8
0
25 Oct 2020
Privacy-Preserving Distributed Projection LMS for Linear Multitask
  Networks
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks
Chengcheng Wang
Wee Peng Tay
Ye Wei
Yuan Wang
42
2
0
12 Oct 2020
Learning an Interpretable Graph Structure in Multi-Task Learning
Learning an Interpretable Graph Structure in Multi-Task Learning
Shujian Yu
Francesco Alesiani
Ammar Shaker
Wenzhe Yin
30
2
0
11 Sep 2020
Tracking Performance of Online Stochastic Learners
Tracking Performance of Online Stochastic Learners
Stefan Vlaski
Elsa Rizk
Ali H. Sayed
28
3
0
04 Apr 2020
Resilient Distributed Diffusion for Multi-task Estimation
Resilient Distributed Diffusion for Multi-task Estimation
Jiani Li
X. Koutsoukos
11
3
0
23 Mar 2020
Resilient Distributed Diffusion in Networks with Adversaries
Resilient Distributed Diffusion in Networks with Adversaries
Jiani Li
W. Abbas
X. Koutsoukos
AAML
64
31
0
23 Mar 2020
Multitask learning over graphs: An Approach for Distributed, Streaming
  Machine Learning
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
Roula Nassif
Stefan Vlaski
C. Richard
Jie Chen
Ali H. Sayed
77
74
0
07 Jan 2020
Distributed Change Detection in Streaming Graph Signals
Distributed Change Detection in Streaming Graph Signals
A. Ferrari
C. Richard
Louis Verduci
52
8
0
15 Oct 2019
Adaptation and learning over networks under subspace constraints -- Part
  I: Stability Analysis
Adaptation and learning over networks under subspace constraints -- Part I: Stability Analysis
Roula Nassif
Stefan Vlaski
Ali H. Sayed
54
30
0
21 May 2019
Clustered Multitask Nonnegative Matrix Factorization for Spectral
  Unmixing of Hyperspectral Data
Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
22
18
0
16 May 2019
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
57
24
0
20 Feb 2019
Hyperspectral Unmixing Based on Clustered Multitask Networks
Hyperspectral Unmixing Based on Clustered Multitask Networks
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
11
1
0
27 Dec 2018
Learning over Multitask Graphs -- Part II: Performance Analysis
Learning over Multitask Graphs -- Part II: Performance Analysis
Roula Nassif
Stefan Vlaski
Cedric Richard
Ali H. Sayed
41
12
0
22 May 2018
Learning over Multitask Graphs -- Part I: Stability Analysis
Learning over Multitask Graphs -- Part I: Stability Analysis
Roula Nassif
Stefan Vlaski
Cedric Richard
Ali H. Sayed
65
29
0
22 May 2018
DJAM: distributed Jacobi asynchronous method for learning personal
  models
DJAM: distributed Jacobi asynchronous method for learning personal models
Inês Almeida
J. Xavier
FedML
42
11
0
26 Mar 2018
Communication Optimality Trade-offs For Distributed Estimation
Communication Optimality Trade-offs For Distributed Estimation
Anit Kumar Sahu
D. Jakovetić
S. Kar
67
10
0
12 Jan 2018
On reducing the communication cost of the diffusion LMS algorithm
On reducing the communication cost of the diffusion LMS algorithm
Ibrahim El Khalil Harrane
Rémi Flamary
C. Richard
52
32
0
30 Nov 2017
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
50
4
0
03 Nov 2017
Multi-Agent Distributed Lifelong Learning for Collective Knowledge
  Acquisition
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition
Mohammad Rostami
Soheil Kolouri
Kyungnam Kim
Eric Eaton
FedMLCLL
78
35
0
15 Sep 2017
Adaptation and learning over networks for nonlinear system modeling
Adaptation and learning over networks for nonlinear system modeling
Simone Scardapane
Jie Chen
C. Richard
45
3
0
28 Apr 2017
Online Distributed Learning Over Networks in RKH Spaces Using Random
  Fourier Features
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
P. Bouboulis
S. Chouvardas
Sergios Theodoridis
83
69
0
23 Mar 2017
Multitask diffusion adaptation over networks with common latent
  representations
Multitask diffusion adaptation over networks with common latent representations
Jie Chen
C. Richard
Ali H. Sayed
60
50
0
13 Feb 2017
Decentralized Clustering and Linking by Networked Agents
Decentralized Clustering and Linking by Networked Agents
S. Khawatmi
Ali H. Sayed
A. Zoubir
49
20
0
28 Oct 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
Ali H. Sayed
64
53
0
10 Oct 2016
Distributed Adaptive Learning of Graph Signals
Distributed Adaptive Learning of Graph Signals
P. Lorenzo
P. Banelli
Sergio Barbarossa
S. Sardellitti
101
63
0
20 Sep 2016
Distributed Learning for Stochastic Generalized Nash Equilibrium
  Problems
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems
Chung-Kai Yu
M. Schaar
Ali H. Sayed
110
87
0
29 Jul 2016
Proximity Without Consensus in Online Multi-Agent Optimization
Proximity Without Consensus in Online Multi-Agent Optimization
Alec Koppel
Brian M. Sadler
Alejandro Ribeiro
94
85
0
17 Jun 2016
Asynchronous adaptive networks
Asynchronous adaptive networks
Ali H. Sayed
Xiaochuan Zhao
62
12
0
30 Nov 2015
Proximal Multitask Learning over Networks with Sparsity-inducing
  Coregularization
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization
Roula Nassif
C. Richard
A. Ferrari
Ali H. Sayed
89
58
0
04 Sep 2015
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for
  Stationary Gaussian Inputs and Slow Learning
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning
J. Ni
Jian Yang
Jie Chen
C. Richard
J. Bermudez
41
7
0
24 Aug 2015
Diffusion Adaptation Over Clustered Multitask Networks Based on the
  Affine Projection Algorithm
Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm
Vinay Chakravarthi Gogineni
M. Chakraborty
42
6
0
29 Jul 2015
Adaptive Diffusion Schemes for Heterogeneous Networks
Adaptive Diffusion Schemes for Heterogeneous Networks
Jesus Fernandez-Bes
J. Arenas-García
Magno T. M. Silva
L. A. Azpicueta-Ruiz
72
32
0
08 Apr 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
115
92
0
25 Dec 2014
Multitask diffusion adaptation over asynchronous networks
Multitask diffusion adaptation over asynchronous networks
Roula Nassif
C. Richard
A. Ferrari
Ali H. Sayed
92
57
0
04 Dec 2014
Information Exchange and Learning Dynamics over Weakly-Connected
  Adaptive Networks
Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networks
Bicheng Ying
Ali H. Sayed
81
25
0
04 Dec 2014
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in
  Multi-Agent Networks
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in Multi-Agent Networks
Gemma Morral
Pascal Bianchi
G. Fort
94
13
0
25 Oct 2014
Distributed Clustering and Learning Over Networks
Distributed Clustering and Learning Over Networks
Xiaochuan Zhao
Ali H. Sayed
FedML
100
93
0
22 Sep 2014
Distributed Diffusion-Based LMS for Node-Specific Adaptive Parameter
  Estimation
Distributed Diffusion-Based LMS for Node-Specific Adaptive Parameter Estimation
J. Plata-Chaves
N. Bogdanović
K. Berberidis
74
86
0
08 Aug 2014
1