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
Implementing Federated Learning based on RainForest Model:
, In:
2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
,
Karim, Mainul
;
Kundu, Niloy Kumar
;
Saha, Dipu
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/I2CT57861.2023.10126333
RT T1
2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
: T1
Implementing Federated Learning based on RainForest Model
UL https://suche.suub.uni-bremen.de/peid=ieee-10126333&Exemplar=1&LAN=DE A1 Karim, Mainul A1 Kundu, Niloy Kumar A1 Saha, Dipu A1 Kabir, Sarah A1 Mim, Sumaiya Akter A1 Md. Farid, Dewan YR 2023 K1 Performance evaluation K1 Data privacy K1 Machine learning algorithms K1 Federated learning K1 Data security K1 Training data K1 Predictive models K1 Clustering K1 Decision tree K1 Federated Learning K1 Machine Learning K1 RainForest SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2CT57861.2023.10126333 DO https://doi.org/10.1109/I2CT57861.2023.10126333 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)