Dong-Jun Han
Orcid: 0000-0003-2970-7336
According to our database1,
Dong-Jun Han
authored at least 42 papers
between 2017 and 2024.
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Collaborative distances:
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Bibliography
2024
Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses.
IEEE Trans. Neural Networks Learn. Syst., November, 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
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction.
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
Proceedings of the IEEE International Conference on Communications, 2024
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
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
Proceedings of the IEEE INFOCOM 2023, 2023
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
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
IEEE Trans. Wirel. Commun., 2021
IEEE Trans. Wirel. Commun., 2021
Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands.
IEEE Trans. Wirel. Commun., 2021
IEEE J. Sel. Areas Commun., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
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
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
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