Work

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

Year: 2025

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2025.3612435

Authors: Zhu Jin, Yundi Li, Tiecheng Song, Wen-Kang Jia, Xiaoqin Song

Institutions: Southeast University, Fujian Normal University, Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Special Fund of Chongqing Key Laboratory

Award: G178871151

OpenAlex ID: W4414404541

FWCI:

Cites: 39

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