Youngjoon Lee, a Ph.D. candidate from Prof. Joonhyuk Kang’s laboratory at KAIST, received the Best Paper Award at the D2ET Workshop held in conjunction with IEEE BigData 2025.
The D2ET Workshop aims to address the increasing fragmentation of data across the real world—so-called “data islands”—which significantly reduce the utility of big data. To enhance data value and usability, the workshop explores new research directions in next-generation databases and is jointly organized under the A3 Foresight Program, supported by JSPS (Japan), NRF (Korea), and NSFC (China).
The awarded paper proposes a generative AI–powered federated learning plugin designed for robust learning in heterogeneous IoT environments, aligning well with the workshop’s mission of promoting data integration and effective data utilization.
