Practical convergence of distributed stochastic iterative processes

This paper is devoted to the investigation of practical convergence of distributed stochastic iterative processes. The practical convergence of distributed stochastic iterative processes is first defined, a comparison principle for the Lyapunov function method is then given and a concrete practical convergence criterion for the linear case is obtained.