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...

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Vydáno v:	IEEE internet of things journal Ročník 12; číslo 23; s. 51289 - 51304
Hlavní autoři:	Jin, Zhu, Li, Yundi, Song, Tiecheng, Jia, Wen-Kang, Song, Xiaoqin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.12.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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