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
Federated learning for vehicular coordination use cases:
, In:
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
,
Toka, Laszlo
;
Konrad, Mark
;
Pelle, Istvan
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/NOMS56928.2023.10154405
RT T1 <cTitle>NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium</cTitle>: T1 <Title>Federated learning for vehicular coordination use cases</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10154405&Exemplar=1&LAN=DE A1 Toka, Laszlo A1 Konrad, Mark A1 Pelle, Istvan A1 Sonkoly, Balazs A1 Szabo, Marcell A1 Sharma, Bhavishya A1 Kumar, Shashwat A1 Annavazzala, Madhuri A1 Deekshitula, Sree Teja A1 Antony Franklin, A YR 2023 SN 2374-9709 K1 Federated learning K1 Tiles K1 Stacking K1 Performance gain K1 Integer linear programming K1 Delays K1 Safety K1 vehicular communication K1 edge platform K1 content distribution K1 federated learning K1 end-to-end latency SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/NOMS56928.2023.10154405 DO https://doi.org/10.1109/NOMS56928.2023.10154405 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
