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Performance Limits of Stochastic Sub-Gradient Learning, Part II:
  Multi-Agent Case

Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case

20 April 2017
Bicheng Ying
Ali H. Sayed
ArXivPDFHTML

Papers citing "Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case"

7 / 7 papers shown
Title
Decentralized Adversarial Training over Graphs
Decentralized Adversarial Training over Graphs
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
AAML
114
1
0
23 Mar 2023
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
91
132
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
87
83
0
29 Dec 2013
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark Schmidt
Francis R. Bach
180
260
0
10 Dec 2012
Sparse Distributed Learning Based on Diffusion Adaptation
Sparse Distributed Learning Based on Diffusion Adaptation
P. Lorenzo
Ali H. Sayed
81
220
0
14 Jun 2012
Information-theoretic lower bounds on the oracle complexity of
  stochastic convex optimization
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
199
251
0
03 Sep 2010
Distributed Consensus Algorithms in Sensor Networks: Link Failures and
  Channel Noise
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise
S. Kar
José M. F. Moura
117
672
0
25 Nov 2007
1