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
Decentralized Federated Learning for Internet of Things Ano..:
, In:
Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
,
Lian, Zhuotao
;
Su, Chunhua
- p. 1249-1251 , 2022
Link:
https://dl.acm.org/doi/10.1145/3488932.3527285
RT T1
Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
: T1
Decentralized Federated Learning for Internet of Things Anomaly Detection
UL https://suche.suub.uni-bremen.de/peid=acm-3527285&Exemplar=1&LAN=DE A1 Lian, Zhuotao A1 Su, Chunhua PB ACM YR 2022 K1 anomaly detection K1 decentralized system K1 federated learning K1 internet of things K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation SP 1249 OP 1251 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3488932.3527285 DO https://dl.acm.org/doi/10.1145/3488932.3527285 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)