Work

FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition

Year: 2025

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2025.3562090

Authors: Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian, Chun Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Institutions: Beijing Institute of Technology, Shenzhen MSU-BIT University, Imperial College London, The University of Tokyo

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Japan Society for the Promotion of Science, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1056251607, G1561475922, G2909340582, G3797146603, G6040259975, G8490007166, G978100677

OpenAlex ID: W4409494322

FWCI: 0.816

Cites: 43

Cited by: 2

Related to: 10