I have read some literature about the convergence rate of block coordinate descent. They all assume that the object function $f$ is Lipschitz continuous, is there any results for the convergence rate if $f$ is continuous and convex but not have Lipschitz gradient?

Update: Assume the function $f$ is smooth and block coordinate descent can find the minimum of $f$ successfully without getting stuck at some points.