Sustech

In SUSTech, I had the opportunity to work on various research projects focusing on the optimization and security of blockchain networks. More specifically, I worked on algorithm design and system optimization using game theory and machine learning to improve the throughput of blockchain networks and significantly reduce transaction latency. We propose a user-centric blockchain model that enhances data sharing security and improves processing efficiency for Industry 5.0,. This model provides robust support for addressing scalability and low-latency issues in industrial blockchain applications. Through these optimization algorithms, we enhance the overall performance, operability, and reliability of blockchain networks in practical applications. We develop a Lagrange Coded Federated Learning (L-CoFL) model to enhance data security and model accuracy in decentralized environments, such as blockchain networks. This model combines federated learning with coded distributed computing to ensure robust data privacy and efficient model updates within the network. Experimental results show that the L-CoFL model significantly shortens the model training cycle while maintaining or even improving prediction accuracy, while demonstrating great potential and advantages in real-time blockchain applications. We design a comprehensive blockchain-based solution for Internet of Vehicles (IoV) applications. The framework includes high-throughput blockchain architectures and secure data-sharing models specifically for IoV. By thoroughly analyzing the needs and challenges of IoV, we design blockchain architecture optimized for high-throughput and low-latency environments. The solution covers high-throughput, low-latency blockchain architectures and integrate secure and reliable data-sharing models. This effectively addresses the scalability and security issues faced by blockchain technology in industrial and vehicle applications. We provide strong technical support and assurance for the upgrade and transformation of modern industrial systems and intelligent transportation systems through a series of technological innovations and practical verifications.

Oct 26, 2023