| Accelerated federated learning via greedy aggregation Y Lee, S Park, JH Ahn, J Kang IEEE Communications Letters 26 (12), 2919-2923, 2022 | 9 | 2022 |
| Security-preserving federated learning via byzantine-sensitive triplet distance Y Lee, S Park, J Kang 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 5 | 2024 |
| Fast-Convergent Federated Learning via Cyclic Aggregation Y Lee, S Park, J Kang 2023 IEEE International Conference on Image Processing (ICIP), 2175-2179, 2023 | 5 | 2023 |
| Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Y Lee, J Gong, J Kang arXiv preprint arXiv:2410.23824, 2024 | 1 | 2024 |
| Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation Y Lee, T Park, Y Lee, J Gong, J Kang arXiv preprint arXiv:2501.18416, 2025 | | 2025 |
| Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin Y Lee, J Gong, J Kang arXiv preprint arXiv:2411.10212, 2024 | | 2024 |
| ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions Y Lee, T Park, Y Kang, J Kim, J Kang arXiv preprint arXiv:2410.00367, 2024 | | 2024 |
| Method and Device for Federated Learning Using Variable Learning Rate Y Lee, S Park, J Gong, J Kang KR Patent 10-2,690,517, 2024 | | 2024 |
| Defense AI R&D Framework Proposal Y Lee, T Park, J Kang Journal of Defense and Security 6 (1), 359-374, 2024 | | 2024 |
| Federated AI for Defense Applications Y Lee, T Park, C Park, J Seo Journal of Defense and Security 5 (2), 206-222, 2023 | | 2023 |
| Byzantine-Resilient Federated Learning via Reverse Aggregation Y Lee, S Park, J Kang 2023 IEEE Virtual Conference on Communications (VCC), 98-102, 2023 | | 2023 |
| Neural Network Training Method and Apparatus Using Federated Learning Y Lee, S Park, J Kang KR Patent 10-2,479,793, 2022 | | 2022 |
| Federated Learning Method and System Y Lee, J Kang KR Patent 10-2,390,553, 2022 | | 2022 |
| Method and System for Byzantine-Resilient and Personalized Distributed Learning Y Lee, S Park, J Kang KR Patent 10-2,522,053, 2022 | | 2022 |
| FedLN: Federated Learning with Local Normalization Y Lee, J Kang The 31st Joint Conference on Communications and Information, 2021 | | 2021 |
Joonhyuk KangProfessor of Electrical Engineering, KAIST在 kaist.edu 的电子邮件经过验证
