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We consider a network of agents that are cooperatively solving a global optimization problem, where the objective function is the sum of privately known local objective functions of the agents and the decision variables are coupled via linear constraints.
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On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers
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Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise
S. Kar and J. M. F. Moura · 2009
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A. Nedich and A. Ozdaglar · 2009
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Y. Nesterov · 2009
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A. Olshevsky and J. N. Tsitsiklis · 2009
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Asynchronous Gossip Algorithms for Stochastic Optimization
S. S. Ram, A. Nedich, and V. V. Veeravalli · 2009
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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
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A Note on the Alternating Direction Method of Multipliers
D. Han and X. Yuan · 2012
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On the Linear Convergence of the Alternating Direction Method of Multipliers
M. Hong and Z. Luo · 2012
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J. Mota, J Xavier, P. Aguiar, and M. Püschel · 2012
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D-ADMM : A Communication-Efficient Distributed Algorithm For Separable Optimization
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E. Wei and A. Ozdaglar · 2012
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Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers
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On the O ( 1 / k ) O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of Multipliers
E. Wei and A. Ozdaglar · 2013
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