Sageflow: Robust federated learning against both stragglers and adversaries J Park, DJ Han, M Choi, J Moon Neural Information Processing Systems (NeurIPS) 34, 840-851, 2021 | 69 | 2021 |
Communication-computation efficient secure aggregation for federated learning B Choi, J Sohn, DJ Han, J Moon arXiv preprint arXiv:2012.05433, 2020 | 61 | 2020 |
Accelerating federated learning with split learning on locally generated losses DJ Han, HI Bhatti, J Lee, J Moon ICML 2021 workshop on federated learning for user privacy and data …, 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) 33, 14615-14625, 2020 | 40 | 2020 |
Scalable network-coded PBFT consensus algorithm B Choi, J Sohn, DJ Han, J Moon 2019 IEEE International Symposium on Information Theory (ISIT), 857-861, 2019 | 27 | 2019 |
FedMes: Speeding up federated learning with multiple edge servers DJ Han, M Choi, J Park, J Moon IEEE Journal on Selected Areas in Communications 39 (12), 3870-3885, 2021 | 25 | 2021 |
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 20 (4), 2685-2699, 2020 | 19 | 2020 |
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 | 18 | 2023 |
Bi-directional cooperative NOMA without full CSIT M Choi, DJ Han, J Moon IEEE Transactions on Wireless Communications 17 (11), 7515-7527, 2018 | 18 | 2018 |
Coded wireless distributed computing with packet losses and retransmissions DJ Han, JY Sohn, J Moon IEEE Transactions on Wireless Communications 20 (12), 8204-8217, 2021 | 15 | 2021 |
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 | 14 | 2023 |
Coded distributed computing over packet erasure channels DJ Han, J Sohn, J Moon 2019 IEEE International Symposium on Information Theory (ISIT), 717-721, 2019 | 14 | 2019 |
Few-Round Learning for Federated Learning Y Park, DJ Han, DY Kim, J Seo, M Jaekyun Neural Information Processing Systems (NeurIPS), 2021 | 13 | 2021 |
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 | 11 | 2023 |
Probabilistic caching policy for categorized contents and consecutive user demands M Choi, D Kim, DJ Han, J Kim, J Moon ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 9 | 2019 |
Combined subband-subcarrier spectral shaping in multi-carrier modulation under the excess frame length constraint DJ Han, J Moon, D Kim, SY Chung, YH Lee IEEE Journal on Selected Areas in Communications 35 (6), 1339-1352, 2017 | 8 | 2017 |
Hierarchical broadcast coding: Expediting distributed learning at the wireless edge DJ Han, JY Sohn, J Moon IEEE Transactions on Wireless Communications 20 (4), 2266-2281, 2020 | 7 | 2020 |
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 | 6 | 2023 |
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization J Park, DJ Han, S Kim, J Moon International Conference on Machine Learning (ICML), 2023 | 5 | 2023 |
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis W Fang, DJ Han, CG Brinton IEEE International Conference on Communications (ICC), 2023 | 4 | 2023 |