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DKUM
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Title:
zk-OPML: Using zero-knowledge proofs to optimize OPML
Authors:
ID
Keršič, Vid
(
Author
)
ID
Turkanović, Muhamed
(
Author
)
Files:
s44443-026-00573-1.pdf
(1,41 MB)
MD5: DCBF827737E33E74B65209CED838320B
Language:
English
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Keywords:
verifiable computing
,
machine learning
,
zero-knowledge proofs
,
decentralized AI
,
cryptoeconomics
Publication status:
Published
Publication version:
Version of Record
Submitted for review:
25.11.2025
Article acceptance date:
09.02.2026
Publication date:
24.02.2026
Publisher:
Springer Nature
Year of publishing:
2026
Number of pages:
48 str.
PID:
20.500.12556/DKUM-97584
UDC:
004.8
ISSN on article:
2213-1248
COBISS.SI-ID:
272383747
DOI:
10.1007/s44443-026-00573-1
Publication date in DKUM:
23.03.2026
Views:
180
Downloads:
32
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Journal of King Saud University : Computer and information sciences.
Publisher:
Elsevier
ISSN:
2213-1248
COBISS.SI-ID:
136835075
Document is financed by a project
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0057-2018
Name:
Informacijski sistemi
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
strojno učenje
,
umetna inteligenca
,
preverljivo računalništvo
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