Dong-Jun Han

Orcid: 0000-0003-2970-7336

According to our database1, Dong-Jun Han authored at least 39 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks.
IEEE Trans. Mob. Comput., June, 2024

Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading.
IEEE J. Sel. Areas Commun., May, 2024

Hierarchical Federated Learning with Multi-Timescale Gradient Correction.
CoRR, 2024

Unlocking the Potential of Model Calibration in Federated Learning.
CoRR, 2024

Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover.
CoRR, 2024

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis.
CoRR, 2024

Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees.
CoRR, 2024

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training.
CoRR, 2024

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection.
CoRR, 2024

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication.
Proceedings of the IEEE International Conference on Communications, 2024

Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis.
Proceedings of the IEEE International Conference on Communications, 2024

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SplitGP: Achieving Both Generalization and Personalization in Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization.
Proceedings of the International Conference on Machine Learning, 2023

Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Coded Wireless Distributed Computing With Packet Losses and Retransmissions.
IEEE Trans. Wirel. Commun., 2021

Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge.
IEEE Trans. Wirel. Commun., 2021

Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands.
IEEE Trans. Wirel. Commun., 2021

FedMes: Speeding Up Federated Learning With Multiple Edge Servers.
IEEE J. Sel. Areas Commun., 2021

Few-Round Learning for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sageflow: Robust Federated Learning against Both Stragglers and Adversaries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Communication-Computation Efficient Secure Aggregation for Federated Learning.
CoRR, 2020

Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Coded Distributed Computing over Packet Erasure Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Scalable Network-Coded PBFT Consensus Algorithm.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Bi-Directional Cooperative NOMA Without Full CSIT.
IEEE Trans. Wirel. Commun., 2018

Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information.
IEEE Trans. Veh. Technol., 2018

2017
Combined Subband-Subcarrier Spectral Shaping in Multi-Carrier Modulation Under the Excess Frame Length Constraint.
IEEE J. Sel. Areas Commun., 2017

NOMA in Distributed Antenna System for Max-Min Fairness and Max-Sum-Rate.
CoRR, 2017


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