Chu Myaet Thwal

Orcid: 0000-0002-5708-6971

According to our database1, Chu Myaet Thwal authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.
Neural Networks, 2024

Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training.
CoRR, 2024

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.
CoRR, 2024

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning.
CoRR, 2024

2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.
Neural Networks, August, 2023

Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks.
CoRR, 2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning.
CoRR, 2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
CoRR, 2023

Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction.
Proceedings of the International Conference on Information Networking, 2023

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting.
Proceedings of the International Conference on Information Networking, 2023

Federated Learning with Intermediate Representation Regularization.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022
Federated Learning with Intermediate Representation Regularization.
CoRR, 2022

2021
Federated Learning based Energy Demand Prediction with Clustered Aggregation.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Attention on Personalized Clinical Decision Support System: Federated Learning Approach.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021


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