Federated Learning: Issues in Medical Application. - Joo Hun Yoo; Hyejun Jeong; Jaehyeok Lee; Tai-Myoung Chung (FDSE, 2021)

Are You a Good Client? Client Classification in Federated Learning. - Hyejun Jeong; Jaeju An; Jaehoon Jeong 001 (ICTC, 2021)

Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application. - Joo Hun Yoo; Ha Min Son; Hyejun Jeong; Eun-Hye Jang; Ah-Young Kim; Han-Young Yu; Hong Jin Jeon; Tai-Myoung Chung (ICTC, 2021)

ABC-FL: Anomalous and Benign client Classification in Federated Learning. - Hyejun Jeong; Joonyong Hwang; Tai-Myung Chung (CoRR, 2021)

Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare. - Hyejun Jeong; Tai-Myoung Chung (FDSE (CCIS Volume), 2022)

FedCC: Robust Federated Learning against Model Poisoning Attacks. - Hyejun Jeong; Ha Min Son; Seo Hu Lee; Jayun Hyun; Tai-Myoung Chung (CoRR, 2022)

Open problems in medical federated learning. - Joo Hun Yoo; Hyejun Jeong; Jaehyeok Lee; Tai-Myoung Chung (Int. J. Web Inf. Syst., 2022)

SoK: Challenges and Opportunities in Federated Unlearning. - Hyejun Jeong; Shiqing Ma; Amir Houmansadr (CoRR, 2024)

Bias Similarity Across Large Language Models. - Hyejun Jeong; Shiqing Ma; Amir Houmansadr (CoRR, 2024)