SVQ-VAE: Federated-Learning-Based Semantic-Aware Communication for Vehicular Networks

The integration of semantic communication technology into intelligent vehicular networks represents a promising research direction, as it significantly reduces data transmission volume and spectrum usage, addressing the high demands of transmitting large-scale visual information between vehicles. Ex...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE internet of things journal Vol. 12; no. 23; pp. 51289 - 51304
Main Authors:	Jin, Zhu, Li, Yundi, Song, Tiecheng, Jia, Wen-Kang, Song, Xiaoqin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.12.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Communication Computer architecture Data models Data transmission Decoding Federated learning Heterogeneity Indexes Intelligent vehicles Internet of Things Networks Parameters Semantic communication semantic-aware compression Semantics Servers Tensors Training Transmission efficiency vector quantized variational autoencoder (VAE) Vectors Vehicles vehicular networks
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!