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Gossip Algorithms for Distributed Signal Processing

Gossip Algorithms for Distributed Signal Processing

27 March 2010
A. Dimakis
S. Kar
José M. F. Moura
Michael G. Rabbat
Anna Scaglione
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Papers citing "Gossip Algorithms for Distributed Signal Processing"

50 / 55 papers shown
Title
Topology-Dependent Privacy Bound For Decentralized Federated Learning
Topology-Dependent Privacy Bound For Decentralized Federated Learning
Qiongxiu Li
Wenrui Yu
Changlong Ji
Richard Heusdens
32
3
0
13 Dec 2023
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
Andrea Testa
Guido Carnevale
G. Notarstefano
31
10
0
08 Sep 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
24
2
0
06 Sep 2023
First Order Methods with Markovian Noise: from Acceleration to
  Variational Inequalities
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
Aleksandr Beznosikov
S. Samsonov
Marina Sheshukova
Alexander Gasnikov
A. Naumov
Eric Moulines
46
14
0
25 May 2023
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Policy Evaluation in Decentralized POMDPs with Belief Sharing
Mert Kayaalp
Fatima Ghadieh
Ali H. Sayed
19
2
0
08 Feb 2023
Scalable Collaborative Learning via Representation Sharing
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
27
3
0
20 Nov 2022
Secure Distributed Optimization Under Gradient Attacks
Secure Distributed Optimization Under Gradient Attacks
Shuhua Yu
S. Kar
32
14
0
28 Oct 2022
Networked Signal and Information Processing
Networked Signal and Information Processing
Stefan Vlaski
S. Kar
Ali H. Sayed
José M. F. Moura
49
16
0
25 Oct 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
30
29
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
16
0
0
07 Jul 2022
On the Arithmetic and Geometric Fusion of Beliefs for Distributed
  Inference
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference
Mert Kayaalp
Yunus Inan
E. Telatar
Ali H. Sayed
FedML
16
26
0
28 Apr 2022
On observability and optimal gain design for distributed linear
  filtering and prediction
On observability and optimal gain design for distributed linear filtering and prediction
Subhro Das
32
1
0
07 Mar 2022
Distributed Adaptive Learning Under Communication Constraints
Distributed Adaptive Learning Under Communication Constraints
Marco Carpentiero
Vincenzo Matta
Ali H. Sayed
29
17
0
03 Dec 2021
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Jamie Haddock
B. Jarman
C. Yap
11
5
0
27 Oct 2021
Distributed Variational Bayesian Algorithms Over Sensor Networks
Distributed Variational Bayesian Algorithms Over Sensor Networks
Junhao Hua
Chunguang Li
6
44
0
27 Nov 2020
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
149
83
0
24 Oct 2020
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point
  Evasion
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion
Brian Swenson
Ryan W. Murray
H. Vincent Poor
S. Kar
12
16
0
12 Aug 2020
Fair and Efficient Gossip in Hyperledger Fabric
Fair and Efficient Gossip in Hyperledger Fabric
Nicolae Berendea
H. Mercier
Emanuel Onica
E. Rivière
24
38
0
15 Apr 2020
Second Order Statistics Analysis and Comparison between Arithmetic and
  Geometric Average Fusion
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion
Tiancheng Li
Hongqi Fan
Jesús García
J. Corchado
FedML
27
96
0
23 Jan 2019
Accelerated Decentralized Optimization with Local Updates for Smooth and
  Strongly Convex Objectives
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Hadrien Hendrikx
Francis R. Bach
Laurent Massoulié
15
42
0
05 Oct 2018
Graph-Dependent Implicit Regularisation for Distributed Stochastic
  Subgradient Descent
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent
Dominic Richards
Patrick Rebeschini
16
18
0
18 Sep 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
41
10
0
17 Aug 2018
PADS: Practical Attestation for Highly Dynamic Swarm Topologies
PADS: Practical Attestation for Highly Dynamic Swarm Topologies
Moreno Ambrosin
Mauro Conti
Riccardo Lazzeretti
Md Masoom Rabbani
Silvio Ranise
19
43
0
14 Jun 2018
Eigenvector Computation and Community Detection in Asynchronous Gossip
  Models
Eigenvector Computation and Community Detection in Asynchronous Gossip Models
Frederik Mallmann-Trenn
Cameron Musco
Christopher Musco
23
9
0
23 Apr 2018
Asynchronous Gradient-Push
Asynchronous Gradient-Push
Mahmoud Assran
Michael G. Rabbat
14
61
0
23 Mar 2018
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Fernando Gama
Alejandro Ribeiro
27
15
0
12 Mar 2018
Momentum and Stochastic Momentum for Stochastic Gradient, Newton,
  Proximal Point and Subspace Descent Methods
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou
Peter Richtárik
19
200
0
27 Dec 2017
Stochastic Optimization from Distributed, Streaming Data in Rate-limited
  Networks
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
M. Nokleby
W. Bajwa
21
16
0
25 Apr 2017
Token-based Function Computation with Memory
Token-based Function Computation with Memory
Student Member Ieee Saber Salehkaleybar
F. I. S. Jamaloddin Golestani
18
0
0
26 Mar 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
32
69
0
23 Mar 2017
A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part I
A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part I
A. Proskurnikov
R. Tempo
35
493
0
23 Jan 2017
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Hoi-To Wai
Jean Lafond
Anna Scaglione
Eric Moulines
69
89
0
05 Dec 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
23
85
0
29 Jul 2016
Coordinate-Descent Diffusion Learning by Networked Agents
Coordinate-Descent Diffusion Learning by Networked Agents
Chengcheng Wang
Yonggang Zhang
Bicheng Ying
Ali H. Sayed
23
16
0
06 Jul 2016
A New Approach to Dimensionality Reduction for Anomaly Detection in Data
  Traffic
A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic
Tingshan Huang
H. Sethu
Nagarajan Kandasamy
6
37
0
14 Jun 2016
Distributed Detection over Adaptive Networks: Refined Asymptotics and
  the Role of Connectivity
Distributed Detection over Adaptive Networks: Refined Asymptotics and the Role of Connectivity
Vincenzo Matta
P. Braca
S. Maranò
Ali H. Sayed
28
39
0
26 Jan 2016
Push sum with transmission failures
Push sum with transmission failures
B. Gerencsér
Julien Hendrickx
27
9
0
30 Apr 2015
Decentralized learning for wireless communications and networking
Decentralized learning for wireless communications and networking
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
43
88
0
30 Mar 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
26
16
0
09 Dec 2014
Social Learning and Distributed Hypothesis Testing
Social Learning and Distributed Hypothesis Testing
Anusha Lalitha
T. Javidi
Anand D. Sarwate
32
178
0
16 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
Stability and Performance Limits of Adaptive Primal-Dual Networks
Stability and Performance Limits of Adaptive Primal-Dual Networks
Zaid J. Towfic
Ali H. Sayed
31
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
29
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
On Decentralized Estimation with Active Queries
On Decentralized Estimation with Active Queries
Theodoros Tsiligkaridis
Brian M. Sadler
Alfred Hero
56
25
0
30 Dec 2013
A Chemistry-Inspired Framework for Achieving Consensus in Wireless
  Sensor Networks
A Chemistry-Inspired Framework for Achieving Consensus in Wireless Sensor Networks
Massimo Monti
L. Sanguinetti
C. Tschudin
M. Luise
43
7
0
27 Aug 2013
Distributed Bayesian inference for consistent labeling of tracked
  objects in non-overlapping camera networks
Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks
Jiuqing Wan
Li Liu
38
7
0
05 Jun 2013
Convergence and Applications of a Gossip-based Gauss-Newton Algorithm
Convergence and Applications of a Gossip-based Gauss-Newton Algorithm
Xiao Li
Anna Scaglione
43
34
0
28 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
37
140
0
17 Jun 2012
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