Počet záznamů: 1
Robust Online Modeling of Counts in Agent Networks
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SYSNO ASEP 0570900 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Robust Online Modeling of Counts in Agent Networks Tvůrce(i) Žemlička, R. (CZ)
Dedecius, Kamil (UTIA-B) RID, ORCIDCelkový počet autorů 2 Zdroj.dok. IEEE Transactions on Signal and Information Processing over Networks - ISSN 2373-776X
Roč. 9, č. 1 (2023), s. 217-228Poč.str. 12 s. Forma vydání Online - E Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova Diffusion ; Distributed estimation ; Poisson regression Vědní obor RIV IN - Informatika Obor OECD Automation and control systems Způsob publikování Omezený přístup Institucionální podpora UTIA-B - RVO:67985556 UT WOS 000975099100002 EID SCOPUS 85153355712 DOI 10.1109/TSIPN.2023.3264990 Anotace Many real-world processes of interest produce nonnegative integer values standing for counts. For instance, we count packets in computer networks, people in monitored areas, or particles incident on detectors. Often, the ultimate goal is the modeling of these counts. However, standard techniques are computationally demanding and sensitive to the amount of available information. In our quest to solve the objective, we consider two prominent features of the contemporary world: online processing of streaming data, and the rapidly evolving ad-hoc agent networks. We propose a novel algorithm for a collaborative online estimation of the zero-inflated Poisson mixture models in diffusion networks. Its main features are low memory and computational requirements, and the capability of running in inhomogeneous networks. There, the agents possibly observe different processes, and locally decide which of their neighbors provide useful information. Two simulation examples demonstrate that the algorithm attains good stability and estimation performance even under slowly varying parameters. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2024 Elektronická adresa https://ieeexplore.ieee.org/document/10093992
Počet záznamů: 1