The Alternating Direction Method of Multipliers (ADMM) is a popular and promising distributed framework for solving large-scale machine learning problems. We consider decentralized consensus-based ADMM in which nodes may only communicate with one-hop neighbors. This may cause slow convergence. https://www.roneverhart.com/Modern-Rectangular-Keyed-Entry-Pocket-Door-Emtek-2113/