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Convergence rates of discrete-time stochastic approximation consensus algorithms: Graph-related limit bounds.

Huaibin TangTao Li
Published in: Syst. Control. Lett. (2018)
Keyphrases
  • stochastic approximation
  • convergence rate
  • monte carlo
  • computational complexity
  • learning rate
  • learning algorithm
  • worst case
  • machine learning
  • graphical models
  • markov chain
  • convergence speed
  • stopping criterion