2017/06/08 by Yang Liu, Bo Li, Liu, Yang +5
Computer Science · #Cellular Automata and Applications #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Nonlinear Dynamics and Pattern Formation #Parallel #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1706.02540
openalex publication_date 2017/06/08 · openalex created_date 2022/08/28 · openalex updated_date 2026/07/28
This paper proposes and investigates a framework for clique gossip protocols. As complete subnetworks, the existence of cliques is ubiquitous in various social, computer, and engineering networks. By clique gossiping, nodes interact with each other along a sequence of cliques. Clique-gossip protocols are defined as arbitrary linear node interactions where node states are vectors evolving as linear dynamical systems. Such protocols become clique-gossip averaging algorithms when node states are scalars under averaging rules. We generalize the classical notion of line graph to capture the essential node interaction structure induced by both the underlying network and the specific clique sequence. We prove a fundamental eigenvalue invariance principle for periodic clique-gossip protocols, which implies that any permutation of the clique sequence leads to the same spectrum for the overall state transition when the generalized line graph contains no cycle. We also prove that for a network with n nodes, cliques with smaller sizes determined by factors of n can always be constructed leading to finite-time convergent clique-gossip averaging algorithms, provided n is not a prime number. Particularly, such finite-time convergence can be achieved with cliques of equal size m if and only if n is divisible by m and they have exactly the same prime factors. A proven fastest finite-time convergent clique-gossip algorithm is constructed for clique-gossiping using size-m cliques. Additionally, the acceleration effects of clique-gossiping are illustrated via numerical examples.