An efficient architecture for edge AI federated learning with homomorphic encryption
author
Rahbari, Dadmehr
Daneshtalab, Masoud
Jenihhin, Maksim
statement of authorship
Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 13
year of publication
2025
pages
p. 97919-97929
url
https://doi.org/10.1109/ACCESS.2025.3576689
https://ieeexplore.ieee.org/abstract/document/11023593
subject term
tehisintellekt
tehisõpe
krüptograafia
keyword
edge AI
efficiency
federated learning (FL)
homomorphic encryption
security
ISSN
2169-3536
notes
Bibliogr.: 33 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100374601
https://www.scopus.com/pages/publications/105007309463?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001506865800006
category (general)
Engineering
Tehnika
Computer science
Arvutiteadus
Materials science
Materjaliteadus
category (sub)
Engineering. General engineering
Tehnika. Üldine inseneriteadus
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
Materials science. General materials science
Materjaliteadus. Üldine materjaliteadus
TalTech department
arvutisüsteemide instituut
language
inglise