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
Boosting Classification Tasks with Federated Learning: Conc..:
, In:
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
,
Hu, Yan
;
Chaddad, Ahmad
- p. 147-154 , 2023
Link:
https://doi.org/10.1109/BIBE60311.2023.00031
RT T1
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
: T1
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives
UL https://suche.suub.uni-bremen.de/peid=ieee-10431827&Exemplar=1&LAN=DE A1 Hu, Yan A1 Chaddad, Ahmad YR 2023 SN 2471-7819 K1 Federated learning K1 Medical services K1 Data models K1 Servers K1 Task analysis K1 Medical diagnostic imaging K1 Skin cancer K1 Medical imaging K1 Artificial intelligence SP 147 OP 154 LK http://dx.doi.org/https://doi.org/10.1109/BIBE60311.2023.00031 DO https://doi.org/10.1109/BIBE60311.2023.00031 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)