Spatio-temporal split learning for privacy-preserving medical platforms: Case studies with covid-19 ct, x-ray, and cholesterol data YJ Ha, M Yoo, G Lee, S Jung, SW Choi, J Kim, S Yoo IEEE Access 9, 121046-121059, 2021 | 23 | 2021 |
Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset YJ Ha, G Lee, M Yoo, S Jung, S Yoo, J Kim Scientific Reports 12 (1), 1534, 2022 | 20 | 2022 |
Visualization of deep reinforcement autonomous aerial mobility learning simulations G Lee, WJ Yun, S Jung, J Kim, JH Kim IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops …, 2021 | 8 | 2021 |
Measurement study of real-time virtual reality contents streaming over IEEE 802.11 ac wireless links G Lee, WJ Yun, YJ Ha, S Jung, J Kim, S Hong, J Kim, YK Lee Electronics 10 (16), 1967, 2021 | 3 | 2021 |
Depth-relative self attention for monocular depth estimation K Shim, J Kim, G Lee, B Shim arXiv preprint arXiv:2304.12849, 2023 | 2 | 2023 |
Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints: A Feasibility Study with COVID-19, X-Ray, and Cholesterol Dataset YJ Ha, G Lee, M Yoo, S Jung, S Yoo, J Kim | 1 | 2021 |