@inproceedings{7b741488b041442191e7b297fb666701,
title = "Convex Combination of Diffusion Strategies over Distributed Networks",
abstract = "Diffusion adaptation is a useful strategy for distributed estimation over networks. Though several information fusion strategies for the diffusion adaptation have been proposed in the literature, it can be restrictive to use a single strategy especially for networks operating in non-stationary environments. Inspired by the convex combination of adaptive filters, in this paper we propose to benefit the performance of two distinct strategies by appropriately combining their fusion coefficients. The combination coefficient on each node is determined by minimizing the overall squared estimation error in a local and online manner. Simulation results highlight favorable properties of the proposed combination scheme, with both static and dynamic fusion components.",
keywords = "adaptive fusion strategy, convex combination, diffusion strategy, Distributed optimization",
author = "Danqi Jin and Jie Chen and Jingdong Chen",
note = "Publisher Copyright: {\textcopyright} 2018 APSIPA organization.; 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 ; Conference date: 12-11-2018 Through 15-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.23919/APSIPA.2018.8659524",
language = "英语",
series = "2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "224--228",
booktitle = "2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings",
}