About me
I am an incoming PhD student in Systems Engineering and Engineering Management at The Chinese University of Hong Kong. I am currently a Research Assistant at VinUniversity, where I study continual learning and efficient model adaptation.
Previously, I was a Research Assistant at Pusan National University and Hanoi University of Science and Technology. My earlier work focused on personalized federated learning and federated domain generalization.
Contact: trongbinh2702@gmail.com
Research interests
- Continual learning and catastrophic forgetting
- Efficient model adaptation and low-rank adaptation
- Recursive and latent reasoning models
- Federated learning and domain generalization
Selected publications
My published work has focused on federated learning, domain generalization, and personalized model adaptation.
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Federated Domain Generalization with Data-Free On-Server Gradient Matching
International Conference on Learning Representations (ICLR), 2025.
Data-free server-side gradient matching for improving domain generalization in federated learning.
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Personal Federated Learning via Momentum Target with Self-Improvement
International Conference on Intelligent Systems and Networks (ICISN), 2023.
Personalized federated learning through momentum targets and self-improvement.
Experiences
Research Assistant, VinUniversity, Hanoi, Vietnam.
Continual low-rank adaptation for efficient model updates.
Research Assistant, Pusan National University, Busan, South Korea.
Federated domain generalization.
Research Assistant, Hanoi University of Science and Technology, Hanoi, Vietnam.
Personalized federated learning.
B.S. in Electronics and Telecommunications, Hanoi University of Science and Technology.
Honors and awards
Consolation Prize, Vietnam National Mathematics Olympiad for Students.
Academic service
Reviewer for IEEE Transactions on Network Science and Engineering and IEEE Transactions on Image Processing.