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Dong-Jun Han
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Year
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
662021
Communication-computation efficient secure aggregation for federated learning
B Choi, J Sohn, DJ Han, J Moon
arXiv preprint arXiv:2012.05433, 2020
602020
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
472021
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
392020
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
272019
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
252021
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
192020
Bi-directional cooperative NOMA without full CSIT
M Choi, DJ Han, J Moon
IEEE Transactions on Wireless Communications 17 (11), 7515-7527, 2018
182018
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
142023
Coded distributed computing over packet erasure channels
DJ Han, J Sohn, J Moon
2019 IEEE International Symposium on Information Theory (ISIT), 717-721, 2019
142019
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
122023
Few-Round Learning for Federated Learning
Y Park, DJ Han, DY Kim, J Seo, M Jaekyun
Neural Information Processing Systems (NeurIPS), 2021
122021
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
122021
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
112023
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
92019
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
82017
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
72020
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
42023
Combined window-filter waveform design with transmitter-side channel state information
DJ Han, J Moon, J Sohn, S Jo, JH Kim
IEEE Transactions on Vehicular Technology 67 (9), 8959-8963, 2018
42018
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis
W Fang, DJ Han, CG Brinton
IEEE International Conference on Communications (ICC), 2023
32023
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Articles 1–20