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- W4287723913 abstract "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 of each node. It presents fast convergence during transient and a significant reduction in the number of sampled nodes in steady state. Besides reducing the computational cost, the proposed mechanism can also be used as a censoring technique, thus saving energy by reducing the amount of communication between nodes. We also present a theoretical analysis to obtain lower and upper bounds for the number of network nodes sampled in steady state." @default.
- W4287723913 created "2022-07-26" @default.
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- W4287723913 date "2020-07-13" @default.
- W4287723913 modified "2023-09-24" @default.
- W4287723913 title "A Sampling Algorithm for Diffusion Networks" @default.
- W4287723913 doi "https://doi.org/10.48550/arxiv.2007.06456" @default.
- W4287723913 hasPublicationYear "2020" @default.
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