@inproceedings{607f1dd611b2435c9278a041c3622b3c,
title = "Gossip BCLMS method over multi-agent networks",
abstract = "We study the problem of parameter estimation over multi-agent networks, where all nodes are corrupted by both input and output noise. A series of BCLMS algorithms based on diffusion strategies have been proposed, which modify the estimates while increase the communication resources. In this paper, We propose a gossip BCLMS algorithm, which can alleviate the communication pressure by reducing the interaction with the surrounding nodes and improve estimation performance of the network. The simulation results have confirmed the effectiveness of the proposed algorithm.",
keywords = "Bias-compensated Method, Communication Resources, Gossip Strategy, Parameter Estimation",
author = "Jinli Yang and Lijuan Jia and Cheng Ma and Lu Fan and Shunshoku Kanae",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8866323",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3703--3707",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "United States",
}