Work

Energy-Efficient Federated Learning Training Optimization for Digital Twin Driven 6G Air-Ground Integrated Vehicular Networks

Year: 2025

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2025.3577308

Authors: Can Tan, Peng Yu, Zhaowei Qu, Lixin Zhang, Wenjing Li, Xuesong Qiu, Shaoyong Guo

Institutions: Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology

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, Affordable and clean energy

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G4818684285

OpenAlex ID: W4411336819

FWCI: 3.711

Cites: 32

Cited by: 9

Related to: 10