I am pleased to share my git hub. There are works of my paper regarding federated learning, machine learning, AI, and medical imaging. Each projects include source codes, descriptions, and tutorials. If you want to contact me, please send me a email. Welcome any feedbacks or proposals. Best regards.
| Category | Main Compenent | Sub Compenent |
|---|---|---|
| 🏫Education | Soongsil University | MSc and PhD |
| 🧑🏻💻 Portfolio | Notion | |
| 🧑🏻💼Major and Skills | Preserving-privacy ML, Healthcare Analysis | Federated-Learning, Parameter-Efficient Fine-Tuning, Communication-Efficient Fine-Tuning, Language Model |
| ⚽Focusing | Coding and Research |
Lower-Grade Glioma Segmentation in Dice-Coefficient Cross Entropy Weighted Federated Learning
Stress Affect Detection At Wearable Devices Via Clustered Federated Learning
Subnet based Federated Learning for Protecting Global Model
Privacy Preserving Voice Phishing Detection using Federated Learning
FedRef: Bayesian Fine Tuning Using a Reference Model
Clustered Federated Learning Based on Mahalanobis Distance for Sequential Medical Data (JIPs)
Best paper award at ASK 2024 conference in Korea Information Processing Society (KIPS) via a paper of Stress Affect Detection At Wearable Devices Via Clustered Federated Learning.
Activity award at academic and industry project challenge in Korea Institute for Advancement of Technology (KIAT) via a related paper of FedRef: Bayesian Fine Tuning Using a Reference Model.