This paper deals with constrained convex problems, where the objective function is smooth and strongly convex, and the feasible set is described by a large number of closed convex (possibly nonpoly…
In this paper, we analyze the recently proposed stochastic primal-dual hybrid gradient (SPDHG) algorithm and provide new theoretical results. In particular, we prove almost sure convergence of the …