Shiliang Zhang
Shiliang Zhang is a postdoc currently focusing on privacy-preserving machine learning methods and applications. He received his PhD and master's degree at Xi'an Jiaotong University, and his bachelor's degree at University of Electronic Science and Technology of China. His research interests include machine learning, privacy protection, deep learning, anomaly detection, and intelligent control of stochastic systems.
Showing 3 publications
Adaptive dual control with online outlier detection for uncertain systems
Adaptive quantile control for stochastic system
An Energy Consumption Model for Electrical Vehicle Networks Via Extended Federated-Learning
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Showing 2 research projects
Privacy-preserving learning for vehicle networks: applications and tools
Privacy-Protected Machine Learning for Transport Systems