I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Efficient Federated Learning in 6G-Satellite Systems: Deep ..:
, In:
2024 IEEE Wireless Communications and Networking Conference (WCNC)
,
Zhou, Yu
;
Guo, Jingjing
;
Li, Haohui
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/WCNC57260.2024.10571246
RT T1 <cTitle>2024 IEEE Wireless Communications and Networking Conference (WCNC)</cTitle>: T1 <Title>Efficient Federated Learning in 6G-Satellite Systems: Deep Reinforcement Learning Based Multi-Objective Optimization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10571246&Exemplar=1&LAN=DE A1 Zhou, Yu A1 Guo, Jingjing A1 Li, Haohui A1 Tian, Jinjin A1 Zhao, Xiaohui A1 Lei, Lei YR 2024 SN 1558-2612 K1 6G mobile communication K1 Training K1 Satellites K1 Federated learning K1 Heuristic algorithms K1 Transfer learning K1 Low earth orbit satellites K1 LEO satellite K1 federated learning K1 multi-objective optimization K1 deep reinforcement learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/WCNC57260.2024.10571246 DO https://doi.org/10.1109/WCNC57260.2024.10571246 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
