@inproceedings{0e603375f2634d7bb4cdab6bdfd49eb4,
title = "Communication-aware Distributed Gaussian Process Regression Algorithms for Real-time Machine Learning",
abstract = "We propose a communication-aware Gaussian process regression algorithm that allows a network of robots to collaboratively learn about a common latent function in real time using streaming data. We quantify the improvement that inter-robot communication brings on the transient performance of the learning algorithm. Simulations are performed to validate the proposed algorithm.",
author = "Zhenyuan Yuan and Minghui Zhu",
note = "Funding Information: 1Zhenyuan Yuan and Minghui Zhu are with School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA 16802,USA (email: {zqy5086,muz16}@psu.edu). This work was partially supported by NSF grants ECCS-1710859 and CNS-1830390. Publisher Copyright: {\textcopyright} 2020 AACC.; 2020 American Control Conference, ACC 2020 ; Conference date: 01-07-2020 Through 03-07-2020",
year = "2020",
month = jul,
doi = "10.23919/ACC45564.2020.9147886",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2197--2202",
booktitle = "2020 American Control Conference, ACC 2020",
address = "United States",
}