Dong-Jun Han

Rohit Parasnis

Seyyedali Hosseinalipour

CoRR, 2024

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

[BibT_eX]

[DOI]

Yun-Wei Chu

Seyyedali Hosseinalipour

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation.

[BibT_eX]

[DOI]

Yun-Wei Chu

CoRR, 2024

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading.

[BibT_eX]

[DOI]

Seyyedali Hosseinalipour

David J. Love

Mung Chiang

CoRR, 2023

Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis.

[BibT_eX]

[DOI]

Wenzhi Fang

CoRR, 2023

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication.

[BibT_eX]

[DOI]

Liangqi Yuan

Vishnu Pandi Chellapandi

Stanislaw H. Zak

CoRR, 2023

StableFDG: Style and Attention Based Learning for Federated Domain Generalization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Do-Yeon Kim

Minseok Choi

Proceedings of the IEEE INFOCOM 2023, 2023

Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Coded Wireless Distributed Computing With Packet Losses and Retransmissions.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

FedMes: Speeding Up Federated Learning With Multiple Edge Servers.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

Few-Round Learning for Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Communication-Computation Efficient Secure Aggregation for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Scalable Network-Coded PBFT Consensus Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Bi-Directional Cooperative NOMA Without Full CSIT.

[BibT_eX]

[DOI]

Minseok Choi

IEEE Trans. Wirel. Commun., 2018

Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2018

2017

Combined Subband-Subcarrier Spectral Shaping in Multi-Carrier Modulation Under the Excess Frame Length Constraint.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2017

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

[BibT_eX]

[DOI]

Minseok Choi