[Zurück]

O. Sluciak, M. Rupp:
"Consensus algorithms with state-dependent weights";
IEEE Transactions on Signal Processing, vol. 64 (2016), 8; S. 1972 - 1985.

We provide an analysis of a distributed consensus type
algorithm with weights dependent only on the received
data. Our approach does not require any global knowledge of
the network which distinguishes our approach from most other
contributions. In general, the weights may be further modified by
any function. We provide general convergence conditions, prove
several properties, derive steady states for such locally derived
weights, as well as analyze the convergence rate of the algorithm.

consensus, weights, generalized means, convergence, distributed algorithms

http://dx.doi.org/10.1109/TSP.2016.2515074

http://publik.tuwien.ac.at/files/PubDat_231232.pdf

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