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Diffusion Adaptation over Networks

Diffusion Adaptation over Networks

18 May 2012
Ali H. Sayed
ArXivPDFHTML

Papers citing "Diffusion Adaptation over Networks"

43 / 43 papers shown
Title
Crowd Modeling and Control via Cooperative Adaptive Filtering
Crowd Modeling and Control via Cooperative Adaptive Filtering
Zirui Wan
Saeid Sanei
18
0
0
14 Oct 2023
Adaptive Consensus: A network pruning approach for decentralized
  optimization
Adaptive Consensus: A network pruning approach for decentralized optimization
S. Shah
A. Berahas
Raghu Bollapragada
27
2
0
06 Sep 2023
Consensus analysis of random sub-graphs for distributed filtering with
  link failures
Consensus analysis of random sub-graphs for distributed filtering with link failures
S. Battilotti
F. Cacace
M. d’Angelo
28
1
0
08 May 2023
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
41
4
0
08 Nov 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
16
0
0
07 Jul 2022
Resilient Distributed Diffusion in Networks with Adversaries
Resilient Distributed Diffusion in Networks with Adversaries
Jiani Li
W. Abbas
X. Koutsoukos
AAML
18
31
0
23 Mar 2020
Social Learning with Partial Information Sharing
Social Learning with Partial Information Sharing
Virginia Bordignon
Vincenzo Matta
Ali H. Sayed
FedML
21
20
0
30 Oct 2019
On Maintaining Linear Convergence of Distributed Learning and
  Optimization under Limited Communication
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
Sindri Magnússon
H. S. Ghadikolaei
Na Li
27
81
0
26 Feb 2019
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
11
23
0
20 Feb 2019
Push-Pull Gradient Methods for Distributed Optimization in Networks
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
16
318
0
15 Oct 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
37
61
0
17 May 2018
Consensus-based Distributed Quantile Estimation in Sensor Networks
Consensus-based Distributed Quantile Estimation in Sensor Networks
Jongmin Lee
C. Tepedelenlioğlu
A. Spanias
14
1
0
01 May 2018
Deterministic and Randomized Diffusion based Iterative Generalized Hard
  Thresholding (DiFIGHT) for Distributed Sparse Signal Recovery
Deterministic and Randomized Diffusion based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Sparse Signal Recovery
S. Mukhopadhyay
M. Chakraborty
22
3
0
23 Apr 2018
A Push-Pull Gradient Method for Distributed Optimization in Networks
A Push-Pull Gradient Method for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
19
98
0
20 Mar 2018
Detection under One-Bit Messaging over Adaptive Networks
Detection under One-Bit Messaging over Adaptive Networks
S. Maranò
Ali H. Sayed
26
10
0
18 Mar 2018
Partial Consensus and Conservative Fusion of Gaussian Mixtures for
  Distributed PHD Fusion
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion
Tiancheng Li
J. Corchado
Shudong Sun
21
79
0
29 Nov 2017
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Sara Khoshsokhan
Roozbeh Rajabi
H. Zayyani
25
4
0
03 Nov 2017
Gravitational Clustering: A Simple, Robust and Adaptive Approach for
  Distributed Networks
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks
Patricia Binder
Michael Muma
A. Zoubir
11
15
0
31 Aug 2017
A Connectedness Constraint for Learning Sparse Graphs
A Connectedness Constraint for Learning Sparse Graphs
Martin Sundin
Arun Venkitaraman
M. Jansson
S. Chatterjee
26
14
0
29 Aug 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
40
69
0
23 Mar 2017
Decentralized Clustering and Linking by Networked Agents
Decentralized Clustering and Linking by Networked Agents
S. Khawatmi
Ali H. Sayed
A. Zoubir
14
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
13
53
0
10 Oct 2016
Geometrically Convergent Distributed Optimization with Uncoordinated
  Step-Sizes
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes
A. Nedić
Alexander Olshevsky
Wei Shi
César A. Uribe
10
140
0
19 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
28
85
0
29 Jul 2016
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
20
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
11
7
0
24 Aug 2015
Distributed image reconstruction for very large arrays in radio
  astronomy
Distributed image reconstruction for very large arrays in radio astronomy
A. Ferrari
D. Mary
Rémi Flamary
C. Richard
18
11
0
02 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
36
31
0
08 Apr 2015
Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing
  Data
Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data
M. R. Gholami
M. Jansson
E. Ström
Ali H. Sayed
DiffM
MedIm
29
16
0
09 Dec 2014
Sparse Distributed Learning via Heterogeneous Diffusion Adaptive
  Networks
Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks
B. K. Das
M. Chakraborty
J. Arenas-García
23
5
0
26 Oct 2014
Distributed Clustering and Learning Over Networks
Distributed Clustering and Learning Over Networks
Xiaochuan Zhao
Ali H. Sayed
FedML
42
93
0
22 Sep 2014
Analysis of a Reduced-Communication Diffusion LMS Algorithm
Analysis of a Reduced-Communication Diffusion LMS Algorithm
Reza Arablouei
Stefan Werner
K. Doğançay
Yih-Fang Huang
34
47
0
25 Aug 2014
Stability and Performance Limits of Adaptive Primal-Dual Networks
Stability and Performance Limits of Adaptive Primal-Dual Networks
Zaid J. Towfic
Ali H. Sayed
39
50
0
16 Aug 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
31
85
0
08 Aug 2014
Distributed Diffusion-based LMS for Node-Specific Parameter Estimation
  over Adaptive Networks
Distributed Diffusion-based LMS for Node-Specific Parameter Estimation over Adaptive Networks
N. Bogdanović
J. Plata-Chaves
K. Berberidis
33
40
0
30 Jun 2014
Distributed Local Linear Parameter Estimation using Gaussian SPAWN
Distributed Local Linear Parameter Estimation using Gaussian SPAWN
M. Leng
Wee Peng Tay
Tony Q.S. Quek
Hyundong Shin
18
21
0
11 Apr 2014
Asynchronous Adaptation and Learning over Networks - Part II:
  Performance Analysis
Asynchronous Adaptation and Learning over Networks - Part II: Performance Analysis
Xiaochuan Zhao
Ali H. Sayed
53
43
0
19 Dec 2013
Asynchronous Adaptation and Learning over Networks --- Part I: Modeling
  and Stability Analysis
Asynchronous Adaptation and Learning over Networks --- Part I: Modeling and Stability Analysis
Xiaochuan Zhao
Ali H. Sayed
45
81
0
19 Dec 2013
Excess-Risk of Distributed Stochastic Learners
Excess-Risk of Distributed Stochastic Learners
Zaid J. Towfic
Jianshu Chen
Ali H. Sayed
60
26
0
05 Feb 2013
Cooperative learning in multi-agent systems from intermittent
  measurements
Cooperative learning in multi-agent systems from intermittent measurements
Naomi Ehrich Leonard
Alexander Olshevsky
73
24
0
11 Sep 2012
Distributed Pareto Optimization via Diffusion Strategies
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen
Ali H. Sayed
71
174
0
13 Aug 2012
Performance Limits for Distributed Estimation Over LMS Adaptive Networks
Performance Limits for Distributed Estimation Over LMS Adaptive Networks
Xiaochuan Zhao
Ali H. Sayed
42
140
0
17 Jun 2012
Sparse Distributed Learning Based on Diffusion Adaptation
Sparse Distributed Learning Based on Diffusion Adaptation
P. Lorenzo
Ali H. Sayed
54
219
0
14 Jun 2012
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