2020
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization
ICASSP 2020accepted
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 variable, but are coupled with each other due to…