Work

Data-Driven DLT3 Federated Deep Reinforcement Learning for Secure and Efficient Autonomous Driving

Year: 2025

Type: article

Source: IEEE Transactions on Consumer Electronics

DOI: 10.1109/tce.2025.3564469

Authors: Rong Fei, Qianxi Li, Kan Wang, Fazlullah Khan, Ryan Alturki, Dapeng Lan

Institutions: Xi'an University of Technology, University of Nottingham Ningbo China, Umm al-Qura University, Shenyang Institute of Automation, Chinese Academy of Sciences

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, International Cooperation and Exchange Programme

Awards: G29569701, G3061414307, G4626874209, G5426407850, G6579843655, G7023397746

OpenAlex ID: W4409916774

FWCI: 0.248

Cites: 34

Cited by: 1

Related to: 10