Federated Learning

Modality-Aware Spectral Alignment for Personalized Federated EEG–Gaze Learning
SCI(E); IF=3.6, 39.1% (Q2), JCR 2025
IEEE Signal Processing Letters, pp. 1–5 (Early Access)
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Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation
CVPR2026
Published: 2026.04.01 (Last Modified: 2026.04.25)
Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation
Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness
CHI 2026 (Top AI & CV Conference)
The ACM CHI conference on Human Factors in Computing Systems 2026
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Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
MICCAI 2023 (Top AI & CV Conference)
International Conference on Medical Image Computing and Computer-Assisted Intervention2023
,Haeyun Lee,Thiago Coutinho Cavalcanti,Sewoong Kim,Georges El Fakhri,Dong Hun Lee,Jonghye Woo,Jae Youn Hwang
인용 원본문서 DOI
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment
SCI(E); IF=3.23, 56.45% (Q3)
JMIR Medical Informatics, Vol. 9, No. 5, Art. e25869
Haeyun Lee,Young Jun Chai,Hyunjin Joo,,Jae Youn Hwang,Seok-Mo Kim,Kwangsoon Kim,Inn-Chul Nam,June Young Choi,Hyeong Won Yu,Myeong-Chul Lee,Hiroo Masuoka,Akira Miyauchi,Kyu-Eon Lee,Sung-Wan Kim,Hyoun-Joong Kong
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Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment