Linli Zhang

Linli Zhang is a Postdoctoral Researcher in the Department of Computer Science, focusing on advanced machine learning techniques and their applications. Her research interests include federated learning, spectral clustering, risk minimization, and network structures.

Research Interests:

• Machine Learning and its explainability challenges
• Federated Learning optimization using Total Variation methods
• Reinforcement Learning for scheduling and dynamic environments
• Comparative analysis of clustering algorithms

Her recent work emphasizes federated learning frameworks, reinforcement learning applications in production systems, and clustering methodologies. Earlier contributions include formal methods for distributed control systems.

No scientific awards or grants are explicitly mentioned in the provided texts. She has not listed any academic advisees or affiliated research teams.