Publications in Scientific Journals:
O. Sluciak, M. Rupp:
"Consensus algorithms with state-dependent weights";
IEEE Transactions on Signal Processing,
vol. 64
(2016),
8;
1972
- 1985.
English abstract:
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.
Keywords:
consensus, weights, generalized means, convergence, distributed algorithms
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/TSP.2016.2515074
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_231232.pdf
Related Projects:
Project Head Markus Rupp:
Signal and Information Processing in Science and Engineering II: Theory and Implementation of Distributed Algorithms
Created from the Publication Database of the Vienna University of Technology.