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eess.SP2024
On the Impact of Random Node Sampling on Adaptive Diffusion Networks
Daniel G. Tiglea, Renato Candido, Magno T. M. Silva
In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that…
eess.SP2020
A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks
Daniel G. Tiglea, Renato Candido, Magno T. M. Silva
Distributed signal processing has attracted widespread attention in the scientific community due to its several advantages over centralized approaches. Recently, graph signal proce…
eess.SP2020
A Sampling Algorithm for Diffusion Networks
Daniel Gilio Tiglea, Renato Candido, Magno T. M. Silva
In this paper, we propose a sampling mechanism for adaptive diffusion networks that adaptively changes the amount of sampled nodes based on mean-squared error in the neighborhood o…