Trustworthy, distributed, and efficient AI research
College of Engineering and Computer Science, VinUniversity
Our research group is situated within VinUniversity's College of Engineering and Computer Science. We specialize in trustworthy, distributed, and efficient AI, with a core focus on developing machine learning systems that remain robust, private, scalable, and practical in real-world settings. Our research encompasses federated learning, privacy-preserving machine learning, backdoor attacks and defenses, communication-efficient learning, edge AI, continual learning, and resource-aware AI to enhance security, privacy, reliability, efficiency, and fairness.
Distributed Learning / Trustworthy AI, 2026–2028. A research project on trustworthy federated learning for large language models, focusing on robustness, privacy, evaluation, and scalable collaboration.
Trustworthy AI / Distributed Learning. Federated learning methods for healthcare systems where privacy, robustness, and interpretability are central requirements.
Efficient Machine Learning. Resource-efficient AI training infrastructure with an emphasis on greener, scalable serverless computing.