Dong-Jun Han

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Distributed Learning

Top Venues

IEEE Trans. Wirel. Commun.

IEEE J. Sel. Areas Commun.

Publications

Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. CoRR (2024)
Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR (2024)
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR (2024)
Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. AAAI (2024)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton
Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks. IEEE Trans. Mob. Comput. 23 (6) (2024)
Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) (2024)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. 42 (5) (2024)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM (2023)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR (2023)
Younghyun Park, Wonjeong Choi, Soyeong Kim, Dong-Jun Han, Jaekyun Moon
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation. ICLR (2023)
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR (2023)
Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization. CoRR (2023)
Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. NeurIPS (2023)
Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. CoRR (2023)
Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning. ICLR (2023)
Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. CoRR (2023)
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS (2023)
Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization. ICML (2023)
Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. CoRR (2023)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. CoRR (2022)
Younghyun Park, Soyeong Kim, Wonjeong Choi, Dong-Jun Han, Jaekyun Moon
Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation. CVPR Workshops (2022)
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks. INFOCOM (2021)
Jungwuk Park, Dong-Jun Han, Minseok Choi, Jaekyun Moon
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries. NeurIPS (2021)
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. 20 (4) (2021)
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
Coded Wireless Distributed Computing With Packet Losses and Retransmissions. IEEE Trans. Wirel. Commun. 20 (12) (2021)
Younghyun Park, Dong-Jun Han, Do-Yeon Kim, Jun Seo, Jaekyun Moon
Few-Round Learning for Federated Learning. NeurIPS (2021)
Dong-Jun Han, Minseok Choi, Jungwuk Park, Jaekyun Moon
FedMes: Speeding Up Federated Learning With Multiple Edge Servers. IEEE J. Sel. Areas Commun. 39 (12) (2021)
Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Dongjae Kim, Joongheon Kim, Jaekyun Moon
Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands. IEEE Trans. Wirel. Commun. 20 (4) (2021)
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. NeurIPS (2020)
Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. WCNC (2020)
Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. CoRR (2020)
Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
Communication-Computation Efficient Secure Aggregation for Federated Learning. CoRR (2020)
Minseok Choi, Dongjae Kim, Dong-Jun Han, Joongheon Kim, Jaekyun Moon
Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands. ICC (2019)
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
Coded Distributed Computing over Packet Erasure Channels. ISIT (2019)
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
Coded Distributed Computing over Packet Erasure Channels. CoRR (2019)
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. CoRR (2019)
Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
Scalable Network-Coded PBFT Consensus Algorithm. ISIT (2019)
Minseok Choi, Dong-Jun Han, Jaekyun Moon
Bi-Directional Cooperative NOMA Without Full CSIT. IEEE Trans. Wirel. Commun. 17 (11) (2018)
Minseok Choi, Dong-Jun Han, Jaekyun Moon
Bi-Directional Cooperative NOMA without Full CSIT. CoRR (2018)
Dong-Jun Han, Jaekyun Moon, Jy-yong Sohn, Sunyoung Jo, Jang Hun Kim
Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. IEEE Trans. Veh. Technol. 67 (9) (2018)
Dong-Jun Han, Jaekyun Moon, Dongjae Kim, Sae-Young Chung, Yong H. Lee
Combined Subband-Subcarrier Spectral Shaping in Multi-Carrier Modulation Under the Excess Frame Length Constraint. IEEE J. Sel. Areas Commun. 35 (6) (2017)
Dong-Jun Han, Minseok Choi, Jaekyun Moon
NOMA in Distributed Antenna System for Max-Min Fairness and Max-Sum-Rate. CoRR (2017)