Abstract— A major problem in wireless sensor network localization is erroneous local geometric realizations in some parts of the network due to the sensitivity to certain distanc...
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Group communication protocols constitute a basic building block for highly dependable distributed applications. Designing and correctly implementing a group communication system (...
Claudio Basile, Long Wang, Zbigniew Kalbarczyk, Ra...
A methodology is proposed to efficiently estimate the substrate noise generated by large scale aggressor circuits. Small spatial voltage differences within the ground distribution...
Emre Salman, Renatas Jakushokas, Eby G. Friedman, ...
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...