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Distributed Parameter Estimation in Sensor Networks: Nonlinear
  Observation Models and Imperfect Communication

Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication

29 August 2008
S. Kar
José M. F. Moura
K. Ramanan
ArXivPDFHTML

Papers citing "Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication"

34 / 84 papers shown
Title
An Online Optimization Approach for Multi-Agent Tracking of Dynamic
  Parameters in the Presence of Adversarial Noise
An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise
Shahin Shahrampour
Ali Jadbabaie
14
24
0
21 Feb 2017
Structurally Observable Distributed Networks of Agents under Cost and
  Robustness Constraints
Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints
Stephen Kruzick
S. Pequito
S. Kar
José M. F. Moura
Antonio Pedro Aguiar
25
17
0
08 Feb 2017
Distributed Estimation and Learning over Heterogeneous Networks
Distributed Estimation and Learning over Heterogeneous Networks
M. Amin Rahimian
Ali Jadbabaie
15
5
0
10 Nov 2016
Distributed Online Optimization in Dynamic Environments Using Mirror
  Descent
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour
Ali Jadbabaie
17
275
0
09 Sep 2016
Distributed Probabilistic Bisection Search using Social Learning
Distributed Probabilistic Bisection Search using Social Learning
Athanasios Tsiligkaridis
Theodoros Tsiligkaridis
FedML
20
4
0
21 Aug 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
Distributed Estimation of Dynamic Parameters : Regret Analysis
Distributed Estimation of Dynamic Parameters : Regret Analysis
Shahin Shahrampour
Alexander Rakhlin
Ali Jadbabaie
11
8
0
02 Mar 2016
Distributed Constrained Recursive Nonlinear Least-Squares Estimation:
  Algorithms and Asymptotics
Distributed Constrained Recursive Nonlinear Least-Squares Estimation: Algorithms and Asymptotics
Anit Kumar Sahu
S. Kar
José M. F. Moura
H. Vincent Poor
13
41
0
01 Feb 2016
Asynchronous adaptive networks
Asynchronous adaptive networks
Ali H. Sayed
Xiaochuan Zhao
25
12
0
30 Nov 2015
Distributed Inference for Relay-Assisted Sensor Networks With
  Intermittent Measurements Over Fading Channels
Distributed Inference for Relay-Assisted Sensor Networks With Intermittent Measurements Over Fading Channels
Shanying Zhu
Y. Soh
Lihua Xie
14
9
0
30 Sep 2015
Decentralized gradient algorithm for solution of a linear equation
Decentralized gradient algorithm for solution of a linear equation
Brian D. O. Anderson
Shaoshuai Mou
A. S. Morse
U. Helmke
13
103
0
15 Sep 2015
Switching to Learn
Switching to Learn
Shahin Shahrampour
M. Amin Rahimian
Ali Jadbabaie
24
16
0
11 Mar 2015
A Distributed Algorithm for Solving a Linear Algebraic Equation
A Distributed Algorithm for Solving a Linear Algebraic Equation
Shaoshuai Mou
Ji Liu
Stephen Morse
33
226
0
03 Mar 2015
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 Detection : Finite-time Analysis and Impact of Network
  Topology
Distributed Detection : Finite-time Analysis and Impact of Network Topology
Shahin Shahrampour
Alexander Rakhlin
Ali Jadbabaie
57
114
0
30 Sep 2014
Joint Estimation and Localization in Sensor Networks
Joint Estimation and Localization in Sensor Networks
Nikolay Atanasov
Roberto Tron
V. Preciado
George J. Pappas
34
39
0
14 Apr 2014
Dictionary Learning over Distributed Models
Dictionary Learning over Distributed Models
Jianshu Chen
Zaid J. Towfic
Ali H. Sayed
FedML
41
95
0
06 Feb 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
Ali H. Sayed
53
131
0
29 Dec 2013
On the Learning Behavior of Adaptive Networks - Part II: Performance
  Analysis
On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis
Jianshu Chen
Ali H. Sayed
49
83
0
29 Dec 2013
Adaptive Penalty-Based Distributed Stochastic Convex Optimization
Adaptive Penalty-Based Distributed Stochastic Convex Optimization
Zaid J. Towfic
Ali H. Sayed
46
89
0
16 Dec 2013
Online Learning of Dynamic Parameters in Social Networks
Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour
Alexander Rakhlin
Ali Jadbabaie
46
43
0
01 Oct 2013
Exponentially Fast Parameter Estimation in Networks Using Distributed
  Dual Averaging
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging
Shahin Shahrampour
Ali Jadbabaie
FedML
51
76
0
10 Sep 2013
Distributed Detection and Estimation in Wireless Sensor Networks
Distributed Detection and Estimation in Wireless Sensor Networks
Sergio Barbarossa
S. Sardellitti
P. Lorenzo
52
91
0
04 Jul 2013
Robust Decentralized State Estimation and Tracking for Power Systems via
  Network Gossiping
Robust Decentralized State Estimation and Tracking for Power Systems via Network Gossiping
Xiao Li
Anna Scaglione
31
70
0
18 Mar 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
Accelerated Gradient Methods for Networked Optimization
Accelerated Gradient Methods for Networked Optimization
E. Ghadimi
Iman Shames
M. Johansson
33
96
0
09 Nov 2012
Convergence and Applications of a Gossip-based Gauss-Newton Algorithm
Convergence and Applications of a Gossip-based Gauss-Newton Algorithm
Xiao Li
Anna Scaglione
45
34
0
28 Sep 2012
On the genericity properties in networked estimation: Topology design
  and sensor placement
On the genericity properties in networked estimation: Topology design and sensor placement
Mohammadreza Doostmohammadian
U. Khan
36
66
0
17 Aug 2012
$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent
  Reinforcement Learning Through Consensus + Innovations
QDQDQD-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations
S. Kar
José M. F. Moura
H. Vincent Poor
46
189
0
30 Apr 2012
Networked estimation under information constraints
Networked estimation under information constraints
U. Khan
Ali Jadbabaie
63
18
0
19 Nov 2011
Gossip Algorithms for Distributed Signal Processing
Gossip Algorithms for Distributed Signal Processing
A. Dimakis
S. Kar
José M. F. Moura
Michael G. Rabbat
Anna Scaglione
77
856
0
27 Mar 2010
DILAND: An Algorithm for Distributed Sensor Localization with Noisy
  Distance Measurements
DILAND: An Algorithm for Distributed Sensor Localization with Noisy Distance Measurements
U. Khan
S. Kar
José M. F. Moura
56
182
0
14 Oct 2009
Distributed and Recursive Parameter Estimation in Parametrized Linear
  State-Space Models
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
S. Ram
V. Veeravalli
A. Nedić
88
114
0
10 Apr 2008
Distributed Consensus Algorithms in Sensor Networks: Quantized Data and
  Random Link Failures
Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures
S. Kar
José M. F. Moura
64
428
0
10 Dec 2007
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