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O. Sluciak, M. Rupp:
"Consensus Algorithms With State-Dependent Weights";
in: "Proc. IEEE ICASSP-14", IEEE Xplore, 2014, 5 pages.

We provide an analysis of a consensus-type algorithm with
weights dependent only on the received data. Differently
from previous approaches that require a global knowledge
of the network, we consider general weights inferred only
from local data which can be modified by local functions
on each node. We provide convergence conditions of such
algorithms for general weight functions and derive analytical
steady states in some selected cases.

consensus, weights, convergence

http://publik.tuwien.ac.at/files/PubDat_227603.pdf

Project Head Markus Rupp:
Signal and Information Processing in Science and Engineering II: Theory and Implementation of Distributed Algorithms