Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things-Reference-Cited by-同舟云学术

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Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things

Published:2024-01-15 Issue:2 Volume:11 Page:2166-2180
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chiang Yi-Han¹^ORCID,Terai Koudai¹,Chiang Tsung-Wei²^ORCID,Lin Hai¹^ORCID,Ji Yusheng³^ORCID,Lui John C. S.⁴^ORCID

Affiliation:

1. Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan

2. MediaTek Inc., Hsinchu, Taiwan

3. Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan

4. Department of Computer Science Engineering, The Chinese University of Hong Kong, Hong Kong, China

Funder

JSPS KAKENHI

Kayamori Foundation of Informational Science Advancement

Support Center for Advanced Telecommunications Technology Research, Foundation

Telecommunications Advancement Foundation

RGC’s RIF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10384482/10175512.pdf?arnumber=10175512

Reference64 articles.

1. The EU General Data Protection Regulation (GDPR)

2. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

3. Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

4. Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

5. Semisupervised Distributed Learning With Non-IID Data for AIoT Service Platform

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1. Harnessing federated generative learning for green and sustainable Internet of Things;Journal of Network and Computer Applications;2024-02

2. Data analysis algorithm for internet of things based on federated learning with optical technology;Optical and Quantum Electronics;2024-01-30

3. IEEE P1935 Edge/Fog Manageability and Orchestration: Standard and Usage Example;2023 IEEE International Conference on Edge Computing and Communications (EDGE);2023-07

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