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The ADMM algorithm for distributed averaging: Convergence rates and optimal parameter selection.
Euhanna Ghadimi
André Teixeira
Michael G. Rabbat
Mikael Johansson
Published in:
ACSSC (2014)
Keyphrases
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parameter selection
convergence rate
dynamic programming
worst case
optimal solution
learning algorithm
machine learning
optimization algorithm
expectation maximization
improved algorithm
neural network
genetic algorithm
training data
evolutionary algorithm
least squares
linear programming