In this paper, a novel communication-efficient distributed stochastic algorithm (referred as CO-DSA) is proposed for solving large-scale consensus optimization problems. As compared to the existing relevant work where only sublinear convergence rate obtained strongly convex and smooth objective functions, CO-DSA achieves linear even in presence of an event-triggered based communication-censorin...