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On the Learning Behavior of Adaptive Networks - Part II: Performance
  Analysis

On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis

29 December 2013
Jianshu Chen
Ali H. Sayed
ArXivPDFHTML

Papers citing "On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis"

17 / 17 papers shown
Title
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
Distributed Stochastic Optimization under a General Variance Condition
Distributed Stochastic Optimization under a General Variance Condition
Kun-Yen Huang
Xiao Li
Shin-Yi Pu
FedML
43
6
0
30 Jan 2023
Distributed Random Reshuffling over Networks
Distributed Random Reshuffling over Networks
Kun-Yen Huang
Xiao Li
Andre Milzarek
Shi Pu
Junwen Qiu
39
11
0
31 Dec 2021
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
A Unified and Refined Convergence Analysis for Non-Convex Decentralized
  Learning
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim
Kun Yuan
42
57
0
19 Oct 2021
Decision-Making Algorithms for Learning and Adaptation with Application
  to COVID-19 Data
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
S. Maranò
Ali H. Sayed
21
6
0
14 Dec 2020
Non-Bayesian Social Learning with Uncertain Models
Non-Bayesian Social Learning with Uncertain Models
James Z. Hare
César A. Uribe
Lance M. Kaplan
Ali Jadbabaie
32
25
0
09 Sep 2019
Distributed Learning in Non-Convex Environments -- Part II: Polynomial
  Escape from Saddle-Points
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points
Stefan Vlaski
Ali H. Sayed
27
53
0
03 Jul 2019
Asymptotic Network Independence in Distributed Stochastic Optimization
  for Machine Learning
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
Shi Pu
Alexander Olshevsky
I. Paschalidis
31
41
0
28 Jun 2019
Distributed Stochastic Gradient Tracking Methods
Distributed Stochastic Gradient Tracking Methods
Shi Pu
A. Nedić
26
287
0
25 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
17
26
0
22 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
Detection under One-Bit Messaging over Adaptive Networks
Detection under One-Bit Messaging over Adaptive Networks
S. Maranò
Ali H. Sayed
29
10
0
18 Mar 2018
Distributed Learning for Stochastic Generalized Nash Equilibrium
  Problems
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems
Chung-Kai Yu
M. Schaar
Ali H. Sayed
31
85
0
29 Jul 2016
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
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
Distributed Pareto Optimization via Diffusion Strategies
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen
Ali H. Sayed
71
174
0
13 Aug 2012
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