Work

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Personalized Autonomous Vehicles With Guaranteed Efficiency

Year: 2025

Type: article

Source: IEEE Transactions on Mobile Computing

DOI: 10.1109/tmc.2025.3564402

Authors: Pengzhan Zhou, Yijun Zhai, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Fulin Luo, Chao Chen, Songtao Guo

Institutions: Chongqing University, Beijing Institute of Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G1880356491, G3996011375, G4407733110, 基于相继干扰消除的无线携能通信网络高效能数据收发机制研究, G7048696448, G754270791

OpenAlex ID: W4409795883

FWCI:

Cites: 34

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Related to: 10