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
Quantizated Federated Learning Algorithm with Server Moment..:
, In:
2023 International Conference on Neuromorphic Computing (ICNC)
,
Gao, Feng
;
Li, Jueyou
;
Hao, Yuqi
- p. 313-318 , 2023
Link:
https://doi.org/10.1109/ICNC59488.2023.10462861
RT T1
2023 International Conference on Neuromorphic Computing (ICNC)
: T1
Quantizated Federated Learning Algorithm with Server Momentum Aggregation*
UL https://suche.suub.uni-bremen.de/peid=ieee-10462861&Exemplar=1&LAN=DE A1 Gao, Feng A1 Li, Jueyou A1 Hao, Yuqi YR 2023 K1 Training K1 Quantization (signal) K1 Federated learning K1 Refining K1 Propulsion K1 Stability analysis K1 Servers K1 federated learning K1 compressed communication K1 non-convex optimization K1 momentum SP 313 OP 318 LK http://dx.doi.org/https://doi.org/10.1109/ICNC59488.2023.10462861 DO https://doi.org/10.1109/ICNC59488.2023.10462861 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)