| Sageflow: Robust federated learning against both stragglers and adversaries J Park, DJ Han, M Choi, J Moon Neural Information Processing Systems (NeurIPS), 2021 | 120 | 2021 |
| Communication-computation efficient secure aggregation for federated learning B Choi, J Sohn, DJ Han, J Moon arXiv preprint arXiv:2012.05433, 2020 | 89 | 2020 |
| Accelerating federated learning with split learning on locally generated losses DJ Han, HI Bhatti, J Lee, J Moon ICML Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021 | 87 | 2021 |
| Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning DY Kim, DJ Han, J Seo, J Moon International Conference on Learning Representations (ICLR), 2023 | 52 | 2023 |
| FedMes: Speeding up federated learning with multiple edge servers DJ Han, M Choi, J Park, J Moon IEEE Journal on Selected Areas in Communications, 2021 | 47 | 2021 |
| Election coding for distributed learning: Protecting signsgd against byzantine attacks J Sohn, DJ Han, B Choi, J Moon Neural Information Processing Systems (NeurIPS), 2020 | 42 | 2020 |
| Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation Y Park, S Kim, W Choi, DJ Han, J Moon International Conference on Learning Representations (ICLR), 2023 | 33 | 2023 |
| SplitGP: Achieving Both Generalization and Personalization in Federated Learning DJ Han, DY Kim, M Choi, CG Brinton, J Moon IEEE International Conference on Computer Communications (INFOCOM), 2023 | 32 | 2023 |
| Scalable network-coded PBFT consensus algorithm B Choi, J Sohn, DJ Han, J Moon IEEE International Symposium on Information Theory (ISIT), 2019 | 30 | 2019 |
| Probabilistic caching and dynamic delivery policies for categorized contents and consecutive user demands M Choi, AF Molisch, DJ Han, D Kim, J Kim, J Moon IEEE Transactions on Wireless Communications, 2020 | 26 | 2020 |
| Few-Round Learning for Federated Learning Y Park, DJ Han, DY Kim, J Seo, M Jaekyun Neural Information Processing Systems (NeurIPS), 2021 | 22 | 2021 |
| Asynchronous federated reinforcement learning with policy gradient updates: Algorithm design and convergence analysis G Lan, DJ Han, A Hashemi, V Aggarwal, CG Brinton International Conference on Learning Representations (ICLR), 2025 | 18 | 2025 |
| Coded wireless distributed computing with packet losses and retransmissions DJ Han, JY Sohn, J Moon IEEE Transactions on Wireless Communications, 2021 | 18 | 2021 |
| Bi-directional cooperative NOMA without full CSIT M Choi, DJ Han, J Moon IEEE Transactions on Wireless Communications, 2018 | 18 | 2018 |
| Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading DJ Han, S Hosseinalipour, DJ Love, M Chiang, CG Brinton IEEE Journal on Selected Areas in Communications, 2023 | 15 | 2023 |
| Coded distributed computing over packet erasure channels DJ Han, J Sohn, J Moon IEEE International Symposium on Information Theory (ISIT), 2019 | 15 | 2019 |
| Communication-efficient multimodal federated learning: Joint modality and client selection L Yuan, DJ Han, S Wang, D Upadhyay, CG Brinton arXiv preprint arXiv:2401.16685, 2024 | 14 | 2024 |
| FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication L Yuan, DJ Han, VP Chellapandi, SH Żak, CG Brinton IEEE International Conference on Communications (ICC), 2023 | 11 | 2023 |
| Federated split learning with joint personalization-generalization for inference-stage optimization in wireless edge networks DJ Han, DY Kim, M Choi, D Nickel, J Moon, M Chiang, CG Brinton IEEE Transactions on Mobile Computing 23 (6), 7048-7065, 2023 | 10 | 2023 |
| StableFDG: Style and Attention Based Learning for Federated Domain Generalization J Park, DJ Han, J Kim, S Wang, CG Brinton, J Moon Neural Information Processing Systems (NeurIPS), 2023 | 10 | 2023 |
Jaekyun MoonUniversity of Minnesota, KAIST, Carnegie Mellon Universityایمیل تأیید شده در kaist.edu
