Mobility-Aware Split-Federated With Transfer Learning for Vehicular Semantic Communication Networks-Reference-Cited by-同舟云学术

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Mobility-Aware Split-Federated With Transfer Learning for Vehicular Semantic Communication Networks

Published:2024-05-15 Issue:10 Volume:11 Page:17237-17248
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zheng Guhan¹^ORCID,Ni Qiang¹^ORCID,Navaie Keivan¹^ORCID,Pervaiz Haris²^ORCID,Min Geyong³^ORCID,Kaushik Aryan⁴^ORCID,Zarakovitis Charilaos⁵^ORCID

Affiliation:

1. School of Computing and Communications, Lancaster University, Lancaster, U.K.

2. School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.

3. Department of Computer Science, University of Exeter, Exeter, U.K.

4. School of Engineering and Informatics, University of Sussex, Brighton, U.K.

5. National Centre for Scientific Research Demokritos, Athens, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10416926.pdf?arnumber=10416926

Reference37 articles.

1. On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems

2. Deep-Reinforcement-Learning-Based Distributed Computation Offloading in Vehicular Edge Computing Networks

3. UAV-Aided Wireless Power Transfer and Data Collection in Rician Fading

4. Toward Self-Learning Edge Intelligence in 6G

5. From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-Efficient Resource Allocation for V2X Communications;IEEE Internet of Things Journal;2024-09-15

2. Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning;IEEE Internet of Things Magazine;2024-09

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