In my understanding, Alternating Direction Method for Multipliers (ADMM) is widely viewed as a tool to parallelize large-scale convex-optimization problems arising in statistics and other related fields.
The following paper by S. Boyd is a good reference https://web.stanford.edu/~boyd/papers/pdf/admm_distr_stats.pdf
But one can also use, like Help needed to define a constraint in an optimization problem?, ADMM to solve non-convex problems
I am looking for a paper that I can cite when ADMM is used for solving otherwise non-convex problems?
First of all, ADMM stands for Alternating Direction Method of Multipliers.
ADMM for nonconvex functions is a current hot research topic.
I recommend the following theoretical papers:
Applications: see the references cited in the above papers (read, for example, the third paragraph on page 2 of the second paper).