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math.OC2023
Stochastic Dynamics of Noisy Average Consensus: Analysis and Optimization
Tadashi Wadayama, Ayano Nakai-Kasai
A continuous-time average consensus system is a linear dynamical system defined over a graph, where each node has its own state value that evolves according to a simultaneous linea…
math.OC2020★ 23 cited
Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations
Tadashi Wadayama, Satoshi Takabe
A novel method which is called the Chebyshev inertial iteration for accelerating the convergence speed of fixed-point iterations is presented. The Chebyshev inertial iteration can…
math.OC2019★ 23 cited
Deep Learning-Based Average Consensus
Masako Kishida, Masaki Ogura, Yuichi Yoshida +1
In this study, we analyzed the problem of accelerating the linear average consensus algorithm for complex networks. We propose a data-driven approach to tuning the weights of tempo…