| Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data E Jeong, S Oh, H Kim, J Park, M Bennis, SL Kim NeurIPS 2018 Workshop on Machine Learning on the Phone and other Consumer …, 2018 | 800 | 2018 |
| 16 Federated Knowledge Distillation H Seo, J Park, S Oh, M Bennis, SL Kim Machine Learning and Wireless Communications, 457, 2022 | 131 | 2022 |
| Mix2FLD: Downlink federated learning after uplink federated distillation with two-way mixup S Oh, J Park, E Jeong, H Kim, M Bennis, SL Kim IEEE Communications Letters 24 (10), 2211-2215, 2020 | 71 | 2020 |
| Locfedmix-sl: Localize, federate, and mix for improved scalability, convergence, and latency in split learning S Oh, J Park, P Vepakomma, S Baek, R Raskar, M Bennis, SL Kim Proceedings of the ACM Web Conference 2022, 3347-3357, 2022 | 52 | 2022 |
| Distilling on-device intelligence at the network edge J Park, S Wang, A Elgabli, S Oh, E Jeong, H Cha, H Kim, SL Kim, ... arXiv preprint arXiv:1908.05895, 2019 | 37 | 2019 |
| Multi-hop federated private data augmentation with sample compression E Jeong, S Oh, J Park, H Kim, M Bennis, SL Kim IJCAI 2019 Workshop on Federated Machine Learning for User Privacy and Data …, 2019 | 23 | 2019 |
| Hiding in the crowd: Federated data augmentation for on-device learning E Jeong, S Oh, J Park, H Kim, M Bennis, SL Kim IEEE Intelligent Systems 36 (5), 80-87, 2020 | 18 | 2020 |
| Differentially Private CutMix for Split Learning with Vision Transformer S Oh, J Park, S Baek, H Nam, P Vepakomma, R Raskar, M Bennis, ... NeurIPS 2022 Workshop on Interpolation Regularizers and Beyond (INTERPOLATE …, 2022 | 13 | 2022 |
| Mix2SFL: Two-way mixup for scalable, accurate, and communication-efficient split federated learning S Oh, H Nam, J Park, P Vepakomma, R Raskar, M Bennis, SL Kim IEEE Transactions on Big Data 10 (3), 238-248, 2023 | 8 | 2023 |
| SplitAMC: Split Learning for Robust Automatic Modulation Classification J Park, S Oh, SL Kim IEEE VTC2023-Spring (arXiv preprint arXiv:2304.12200), 2023 | 4 | 2023 |
| Poster: Location-based directional CSMA/CA for millimeter wave V2V communications S Oh, H Kim, SL Kim 2018 IEEE Vehicular Networking Conference (VNC), 1-2, 2018 | 3 | 2018 |
| Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix S Oh, S Baek, J Park, H Nam, P Vepakomma, R Raskar, M Bennis, ... Transactions on Machine Learning Research (TMLR) (arXiv preprint arXiv:2408 …, 2024 | 2 | 2024 |
| Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models S Oh, J Kim, J Park, SW Ko, TQS Quek, SL Kim IEEE International Conference on Machine Learning for Communication and …, 2024 | 1 | 2024 |
| Multipath mixing-based learning data acquisition apparatus and method SL Kim, SE Oh, M Bennis, JH Park US Patent App. 17/847,663, 2022 | | 2022 |
Seong-Lyun KimSchool of EEE, Yonsei Universityyonsei.ac.kr의 이메일 확인됨
