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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

21 February 2017
Shahin Shahrampour
Ali Jadbabaie
ArXivPDFHTML

Papers citing "An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise"

3 / 3 papers shown
Title
Dynamic Regret Analysis of Safe Distributed Online Optimization for
  Convex and Non-convex Problems
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
28
5
0
23 Feb 2023
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online
  Optimization
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization
Parvin Nazari
Davoud Ataee Tarzanagh
George Michailidis
ODL
19
67
0
25 Jan 2019
Distributed Online Optimization in Dynamic Environments Using Mirror
  Descent
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour
Ali Jadbabaie
17
276
0
09 Sep 2016
1