Hyejun Jeong

According to our database, Hyejun Jeong authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bias Similarity Across Large Language Models.

Hyejun Jeong, Shiqing Ma, Amir Houmansadr

CoRR, 2024

SoK: Challenges and Opportunities in Federated Unlearning.

Hyejun Jeong, Shiqing Ma, Amir Houmansadr

CoRR, 2024

2022

Open problems in medical federated learning.

Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung

Int. J. Web Inf. Syst., 2022

FedCC: Robust Federated Learning against Model Poisoning Attacks.

Hyejun Jeong, Ha Min Son, Seo Hu Lee, Jayun Hyun, Tai-Myoung Chung

CoRR, 2022

Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare.

Hyejun Jeong, Tai-Myoung Chung

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

2021

ABC-FL: Anomalous and Benign client Classification in Federated Learning.

Hyejun Jeong, Joonyong Hwang, Tai-Myung Chung

CoRR, 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

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Are You a Good Client? Client Classification in Federated Learning.

Hyejun Jeong, Jaeju An, Jaehoon Jeong

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Federated Learning: Issues in Medical Application.

Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung

Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021