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 and Convolutional Neural Networks for In..:
, In:
2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
,
Abid, Malika
;
Benkaddour, Mohammed Kamel
;
Benouis, Mohamed
- p. 1-8 , 2024
Link:
https://doi.org/10.1109/PAIS62114.2024.10541284
RT T1 <cTitle>2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)</cTitle>: T1 <Title>Federated Learning and Convolutional Neural Networks for Intrusion Detection Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10541284&Exemplar=1&LAN=DE A1 Abid, Malika A1 Benkaddour, Mohammed Kamel A1 Benouis, Mohamed YR 2024 K1 Performance evaluation K1 Analytical models K1 Privacy K1 Federated learning K1 Intrusion detection K1 Telecommunication traffic K1 Convolutional neural networks K1 IDS K1 CNN K1 IID K1 Non-IID SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/PAIS62114.2024.10541284 DO https://doi.org/10.1109/PAIS62114.2024.10541284 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
