Enhancing global model performance in federated learning with non-IID data using a data-free generative diffusion model
author
Najafi, Mohammadreza
Daneshtalab, Masoud
Lee, Jeong-A
Saadloonia, Ghazal
Shin, Seokjoo
statement of authorship
Mohammadreza Najafi, Masoud Daneshtalab, Jeong-A Le, Ghazal Saadloonia, Seokjoo Shin
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 12
year of publication
2024
pages
p. 148230-148239 : ill
url
https://doi.org/10.1109/ACCESS.2024.3474056
subject term
difusioon (füüsika)
mudelid
tehisõpe
keyword
federated learning
non-identical and independent distributions (Non-IID)
diffusion model
knowledge distillation
ISSN
2169-3536
notes
Bibliogr.: 57 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100374601
https://www.scopus.com/pages/publications/85207114760?inward
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001339094500001
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
quartile
Q1
TalTech department
Arvutisüsteemide instituut
language
inglise