We consider the quantized consensus problem on undirected time-varying connected graphs with    $n$   nodes, and devise a protocol with fast convergence time to the set of consensus points. Specifically, we show that when the edges of each network in a sequence of connected time-varying networks are activated based on Poisson processes with Metropolis rates, the expected convergence time to the set of consensus points is at most    $O(n^{2}\log^{2}n)$  , where each node performs a constant number of updates per unit time.
['Tamer Basar', 'Seyed Rasoul Etesami', 'Alexander Olshevsky']
Convergence Time of Quantized Metropolis Consensus Over Time-Varying Networks