Workshop 26: Exploration of Federated Data Mining in Autonomous Transportation System
Keywords: Federated Learning, Data Mining, Autonomous Transportation System, Internet of Things
With the rapid growth of Internet of Things (IoT),Artificial Intelligence (AI), EdgeComputing, and other advanced technologies, an emerging paradigm, called Autonomous Transportation System (ATS), has drawn much attention since it can transport people and cargoes autonomously and intelligently without human intervention. Moreover, to utilize massive data generated by distributed data sources of ATS, a novel decentralized data mining paradigm called Federated Data Mining (FDM) is applied to leverage ATS. FDM can collaborate with multiple ends and learn valuable knowledge in a privacy-preserving way, which provides sound solutions for ATS. However, several challenges, including architecture design, data heterogeneity, and system security, remain open questions to be solved urgently.
This workshop aims to bring together researchers from the areas of federated learning, data mining, and ATS. We expect to encourage original and interesting work dedicated to exploring FDM in ATS. Potential topics include but are not limited to the following:
Algorithms, models, and methods for FDM
Novel architecture which enables FMD in ATS
Micro-services or applications of ATS provided by FDM
Security and privacy issues on FDM and ATS
Chair: Assoc. Prof. Linlin You |
Sun Yat-Sen University, China
Linlin You is an associate professor at the School of Intelligent Systems Engineering, Sun Yat-sen University, and also a research affiliate at the Intelligent Transportation System Lab, Massachusetts Institute of Technology. He received his Ph.D. in Computer Science from the University of Pavia, and his BSc in Software Engineering from the Harbin Institute of Technology.
He led and participated in projects of the National Key Research and Development Program of China, National Natural Science Fund of China, National Research Foundation Singapore, Federal Highway Administration USA, etc. Based on these projects, he published more than 30 journal and conference papers in the research fields of Internet of Things, Autonomous Transportation System, Federated Learning, Smart Cities, Service Orchestration, Multi-source and Multi-modal Data Fusion, and Machine Learning.