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://vppororqotoidg.blog-kids.com/35131119/contestation-of-chemical-castration-punishment-for-child-sex-offenders