Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz Optimization
By Shuang Li · Paper · math.OC
We analyze Bregman ADMM for nonconvex linearly constrained problems under two-sided relative smoothness, a condition that replaces the standard Lipschitz gradient assumption with a Hessian comparison relative to a Bregman kernel. This setting covers polynomial objectives arising