Chu Myaet Thwal

According to our database, Chu Myaet Thwal authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong

Neural Networks, 2024

Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach.

Luyao Zou, Yu Min Park, Chu Myaet Thwal, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

CoRR, 2024

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach.

Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong

CoRR, 2024

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

Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

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

Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

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

Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

2023

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

Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong

Neural Networks, August, 2023

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

Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong

CoRR, 2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning.

Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong

CoRR, 2023

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

Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong

CoRR, 2023

Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction.

Luyao Zou, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting.

Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

Federated Learning with Intermediate Representation Regularization.

Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong

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

2022

Federated Learning with Intermediate Representation Regularization.

Ye Lin Tun, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong

CoRR, 2022

2021

Federated Learning based Energy Demand Prediction with Clustered Aggregation.

Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong

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

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

Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong

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