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Federated Learning and Meta Learning: Approaches, Applications, and Directions

Year of publication

2024

Authors

Liu, Xiaonan; Deng, Yansha; Nallanathan, Arumugam; Bennis, Mehdi

Organizations and authors

University of Oulu

Bennis Mehdi

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

IEEE communications surveys and tutorials

Publisher

Issue

1

Pages

571-618

ISSN

Publication forum

Publication forum level

2

Open access

Open access in the publisher’s service

No

Self-archived

Yes

License of the self-archived publication

Muu lisenssi

Other information

Fields of science

Electronic, automation and communications engineering, electronics

Keywords

Centralized Learning; Distributed learning; Federated learning; federated meta learning; meta learning; wireless networks

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1109/comst.2023.3330910

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes