Online distributed ADMM on networks
This paper examines online distributed Alternating Direction Method of Multipliers (ADMM).
The goal is to distributively optimize a global objective function over a network of decision
makers under linear constraints. The global objective function is composed of convex cost
functions associated with each agent. The local cost functions, on the other hand, are
assumed to have been decomposed into two distinct convex functions, one of which is
revealed to the decision makers over time and one known a priori. In addition, the agents …
The goal is to distributively optimize a global objective function over a network of decision
makers under linear constraints. The global objective function is composed of convex cost
functions associated with each agent. The local cost functions, on the other hand, are
assumed to have been decomposed into two distinct convex functions, one of which is
revealed to the decision makers over time and one known a priori. In addition, the agents …
[PDF][PDF] Online distributed ADMM on networks: Social regret network effect and condition measures
This paper examines online distributed Alternating Direction Method of Multipliers (ADMM).
The goal is to distributively optimize a global objective function over a network of decision
makers under linear constraints. The global objective function is composed of convex cost
functions associated with each agent. The local cost functions, on the other hand, are
assumed to have been decomposed into two distinct convex functions, one of which is
revealed to the decision makers over time and one known a priori. In addition, the agents …
The goal is to distributively optimize a global objective function over a network of decision
makers under linear constraints. The global objective function is composed of convex cost
functions associated with each agent. The local cost functions, on the other hand, are
assumed to have been decomposed into two distinct convex functions, one of which is
revealed to the decision makers over time and one known a priori. In addition, the agents …
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