Work

Federated Learning for Intelligent Transportation Systems: Use Cases, Open Challenges, and Opportunities

Year: 2024

Type: article

Source: IEEE Intelligent Transportation Systems Magazine

DOI: 10.1109/mits.2024.3451479

Authors: Yung-Wey Chong, Kok-Lim Alvin Yau, Noor Farizah Ibrahim, Sharul Kamal Abdul Rahim, Sye Loong Keoh, Achmad Basuki

Institutions: Universiti Sains Malaysia, Universiti Tunku Abdul Rahman Sungai Long Campus, Universiti Tunku Abdul Rahman, University of Technology Malaysia, University of Glasgow, University of Brawijaya

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: Keio University

Award: G1246044697

OpenAlex ID: W4402774413

FWCI: 1.032

Cites: 66

Cited by: 7

Related to: 10