Aug 31, 2018 · Abstract: We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes.

The proposed algorithm consists of a local adaptation stage utilizing multiple kernels with projections onto hyperslabs and a diffusion stage to achieve ...

Multi- ple kernels are incorporated to enhance the approximation of func- tions with several high- and low-frequency components common in practical scenarios.

Authors: B.-S. Shin, M. Yukawa, R.L.G. Cavalcante, A. Dekorsy ; Document type: Journal Paper ; Publication: August 2018 ; Journal: IEEE Transactions on Signal ...

This work provides a comprehensive overview of adaptive diffusion networks, from the first papers published on the subject to state-of-the-art solutions and ...

Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks. BS Shin, M Yukawa, R Cavalcante, A Dekorsy. IEEE Transactions on Signal Processing 66 ...

Feb 26, 2021 · Abstract—We consider the problem of learning a nonlinear function over a network of learners in a fully decentralized fashion.

Kernel adaptive filter (KAF) suitable for nonlinear approximation of ψ(x) . SotA distributed KAFs use one global and fixed dictionary P for all nodes.

This paper introduces a kernel‐based approach to enhance the security of distributed estimation in the presence of adversary links.

Aug 8, 2024 · This work provides a comprehensive overview of adaptive diffusion networks, from the first papers published on the subject to ...