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
Joint Superposition Coding and Training for Federated Learn..:
, In:
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
,
Baek, Hankyul
;
Yun, Won Joon
;
Kwak, Yunseok
... - p. 1729-1738 , 2022
Link:
https://doi.org/10.1109/INFOCOM48880.2022.9796733
RT T1
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
: T1
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9796733&Exemplar=1&LAN=DE A1 Baek, Hankyul A1 Yun, Won Joon A1 Kwak, Yunseok A1 Jung, Soyi A1 Ji, Mingyue A1 Bennis, Mehdi A1 Park, Jihong A1 Kim, Joongheon YR 2022 SN 2641-9874 K1 Training K1 Wireless sensor networks K1 Neural networks K1 Throughput K1 Collaborative work K1 Data models K1 Mobile handsets SP 1729 OP 1738 LK http://dx.doi.org/https://doi.org/10.1109/INFOCOM48880.2022.9796733 DO https://doi.org/10.1109/INFOCOM48880.2022.9796733 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)