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A Proximal Dual Consensus Method For Linearly Coupled Multi-Agent Non-Convex Optimization
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A Proximal Dual Consensus Method For Linearly Coupled Multi-Agent Non-Convex Optimization
Motivated by large-scale signal processing and machine learning applications, this paper considers the distributed multi-agent optimization problem for a linearly constrained non-convex problem. Each of the agents owns a local cost function and local vari
Motivated by large-scale signal processing and machine learning applications, this paper considers the distributed multi-agent optimization problem for a linearly constrained non-convex problem. Each of the agents owns a local cost function and local vari
