Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Category
Artikkeli
Refereed
Kyllä
Sub category
Konferenssijulkaisu
Type
Artikkeli tieteellisessä konferenssijulkaisussa
Publication channel information
Title of host publication
32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
ISBN (print)
978-1-7281-7587-4
ISBN (electronic)
978-1-7281-7586-7
Name of conference
IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Title of journal/series
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
ISSN (print)
2166-9570
ISSN (electronic)
2166-9589
ISSN (linking)
2166-9570
Publisher
IEEE
Publication forum ID
57448
Publication forum level
1
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2021
Bibliographical publication year
2021
Reporting year
2021
Page numbers
1191-1196
DOI
10.1109/PIMRC50174.2021.9569357
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences, 213 Electronic, automation and communications engineering, electronics
Keywords
autoencoder; Koopman operator theory; non-linear dynamical system; Remote monitoring; split learning; autoencoder; Koopman operator theory; non-linear dynamical system; Remote monitoring; split learning
Source database ID
WoS ID
WOS:000782471000196
Scopus ID
2-s2.0-85118437378