Ye Lin Tun

Orcid: 0000-0002-6955-1607

Affiliations:

Kyung Hee University, Yongin-si, Korea

According to our database¹, Ye Lin Tun authored at least 20 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

Resource-Efficient Federated Multimodal Learning via Layer-Wise and Progressive Training.

[BibT_eX]

[DOI]

IEEE Internet Things J., July, 2025

Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Commun. Lett., January, 2025

Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes.

[BibT_eX]

[DOI]

CoRR, January, 2025

Cross-modal prototype based multimodal federated learning under severely missing modality.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

2024

An Efficient Federated Learning Framework for Training Semantic Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., October, 2024

Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., June, 2024

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

[BibT_eX]

[DOI]

CoRR, 2024

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Training A Semantic Communication System with Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

[BibT_eX]

[DOI]

CoRR, 2023

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Networking, 2023

Federated Learning with Intermediate Representation Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Federated Learning with Intermediate Representation Regularization.

[BibT_eX]

[DOI]

CoRR, 2022

Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement.

[BibT_eX]

[DOI]

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021

Federated Learning based Energy Demand Prediction with Clustered Aggregation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Attention on Personalized Clinical Decision Support System: Federated Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Ye Lin Tun

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