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ORCIDChu Myaet Thwal
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2020 – today
- 2024
[j2]Chu Myaet Thwal
, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong:
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. Neural Networks 170: 635-649 (2024)- [i12]Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong:
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. CoRR abs/2401.11647 (2024) - [i11]Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong:
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. CoRR abs/2401.11652 (2024) - [i10]Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong:
Attention on Personalized Clinical Decision Support System: Federated Learning Approach. CoRR abs/2401.11736 (2024) - [i9]Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong:
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR abs/2401.13898 (2024) - [i8]Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong:
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. CoRR abs/2402.06638 (2024) - [i7]Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong:
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training. CoRR abs/2407.15426 (2024) - 2023
- [j1]Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong:
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. Neural Networks 165: 689-704 (2023) - [c5]Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong:
Federated Learning with Intermediate Representation Regularization. BigComp 2023: 56-63 - [c4]Luyao Zou, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong:
Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction. ICOIN 2023: 116-121 - [c3]Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong:
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. ICOIN 2023: 499-504 - [i6]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:
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR abs/2303.11717 (2023) - [i5]Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong:
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR abs/2307.13214 (2023) - [i4]Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong:
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. CoRR abs/2311.16535 (2023) - [i3]Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong:
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. CoRR abs/2311.16538 (2023) - 2022
- [i2]Ye Lin Tun, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong:
Federated Learning with Intermediate Representation Regularization. CoRR abs/2210.15827 (2022) - [i1]Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong:
Federated Learning based Energy Demand Prediction with Clustered Aggregation. CoRR abs/2210.15850 (2022) - 2021
- [c2]Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong:
Attention on Personalized Clinical Decision Support System: Federated Learning Approach. BigComp 2021: 141-147 - [c1]Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong:
Federated Learning based Energy Demand Prediction with Clustered Aggregation. BigComp 2021: 164-167
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