Jammer classification with Federated Learning

Peng Wu; Helena Calatrava; Tales Imbiriba; Pau Closas

doi:10.1109/PLANS53410.2023.10140124

Jammer classification with Federated Learning

Peng Wu
, Helena Calatrava
, Tales Imbiriba
, Pau Closas

Computer Science

College of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	228-234
Number of pages	7
ISBN (Electronic)	9781665417723
DOIs	https://doi.org/10.1109/PLANS53410.2023.10140124
State	Published - 2023
Event	2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023 - Monterey, United States Duration: Apr 24 2023 → Apr 27 2023

Publication series

Name	2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023

Conference

Conference	2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023
Country/Territory	United States
City	Monterey
Period	4/24/23 → 4/27/23

ASJC Scopus Subject Areas

Instrumentation
Aerospace Engineering
Automotive Engineering
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Control and Optimization

Keywords

distributed inference
federated learning
Jamming detection
machine learning
neural networks

Access to Document

10.1109/PLANS53410.2023.10140124

Cite this

Wu, P., Calatrava, H., Imbiriba, T., & Closas, P. (2023). Jammer classification with Federated Learning. In 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023 (pp. 228-234). (2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PLANS53410.2023.10140124

Jammer classification with Federated Learning. / Wu, Peng; Calatrava, Helena; Imbiriba, Tales et al.
2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 228-234 (2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wu, P, Calatrava, H, Imbiriba, T & Closas, P 2023, Jammer classification with Federated Learning. in 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023. 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 228-234, 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023, Monterey, United States, 4/24/23. https://doi.org/10.1109/PLANS53410.2023.10140124

@inproceedings{888ca9bcbebd4fab9b72081acf1052be,

title = "Jammer classification with Federated Learning",

keywords = "distributed inference, federated learning, Jamming detection, machine learning, neural networks",

author = "Peng Wu and Helena Calatrava and Tales Imbiriba and Pau Closas",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023 ; Conference date: 24-04-2023 Through 27-04-2023",

year = "2023",

doi = "10.1109/PLANS53410.2023.10140124",

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KW - federated learning

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M3 - Conference contribution

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SP - 228

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BT - 2023 IEEE/ION Position, Location and Navigation Symposium, PLANS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Jammer classification with Federated Learning

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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