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
FedSDG-FS: Efficient and Secure Feature Selection for Verti..:
, In:
IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
,
Li, Anran
;
Peng, Hongyi
;
Zhang, Lan
... - p. 1-10 , 2023
Link:
https://doi.org/10.1109/INFOCOM53939.2023.10228895
RT T1 <cTitle>IEEE INFOCOM 2023 - IEEE Conference on Computer Communications</cTitle>: T1 <Title>FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10228895&Exemplar=1&LAN=DE A1 Li, Anran A1 Peng, Hongyi A1 Zhang, Lan A1 Huang, Jiahui A1 Guo, Qing A1 Yu, Han A1 Liu, Yang YR 2023 SN 2641-9874 K1 Training K1 Privacy K1 Federated learning K1 Impurities K1 Computational modeling K1 Buildings K1 Stochastic processes K1 Feature selection K1 vertical federated learning SP 1 OP 10 LK http://dx.doi.org/https://doi.org/10.1109/INFOCOM53939.2023.10228895 DO https://doi.org/10.1109/INFOCOM53939.2023.10228895 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
