Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form-Reference-Cited by-同舟云学术

Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form

Published:2024 Issue: Volume:5 Page:457-471
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Charatsaris Panagiotis¹^ORCID,Diamanti Maria¹^ORCID,Papavassiliou Symeon¹^ORCID

Affiliation:

1. Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Greece

Funder

European Commission through the Horizon Europe/JU SNS Project Hexa-X-II

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8782661/10362961/10374197.pdf?arnumber=10374197

Reference42 articles.

1. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

2. Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

3. Hierarchical federated learning: Architecture, challenges, and its implementation in vehicular networks;Jintao;ZTE Commun.,2023

4. Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints

5. Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data

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