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
Coded Secure Multi-Party Computation for Massive Matrices w..:
, In:
2020 Iran Workshop on Communication and Information Theory (IWCIT)
,
Najarkolaei, Seyed Reza Hoseini
;
Maddah-Ali, Mohammad Ali
;
Aref, Mohammad Reza
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/IWCIT50667.2020.9163533
RT T1
2020 Iran Workshop on Communication and Information Theory (IWCIT)
: T1
Coded Secure Multi-Party Computation for Massive Matrices with Adversarial Nodes
UL https://suche.suub.uni-bremen.de/peid=ieee-9163533&Exemplar=1&LAN=DE A1 Najarkolaei, Seyed Reza Hoseini A1 Maddah-Ali, Mohammad Ali A1 Aref, Mohammad Reza YR 2020 K1 Servers K1 Data privacy K1 Privacy K1 Conferences K1 Encoding K1 Redundancy K1 multi-party computation K1 polynomial sharing K1 secure machine learning K1 massive matrix computation SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IWCIT50667.2020.9163533 DO https://doi.org/10.1109/IWCIT50667.2020.9163533 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)