Distributed Intelligence & Systems Laboratory

About Us

Our lab is dedicated to advancing the frontiers of distributed intelligence & systems, with a particular focus on solving complex, real-world problems. We develop innovative techniques in distributed learning to enable efficient and privacy-preserving AI applications. We also focus on trustworthy AI including machine unlearning and robust methods for secure, fair, and reliable AI systems. We also explore AI-native 6G physical layer design and machine learning techniques to time-series prediction in video games.

Key Research Areas

• Distributed learning for scalable and privacy-preserving AI
• Trustworthy AI, including machine unlearning and Byzantine-robust distributed computing techniques
• AI-native 6G physical layer design, focusing on deep learning-based channel prediction
• Time-series prediction for video games and interactive applications