👤 Personal Information

• Class of 2025, Master candidate in Cyberspace Security
• Document Analysis and Pattern Recognition Laboratory, School of Information Science and Technology, Shihezi University

🔬 Research Interests

• Federated Learning

Improve algorithms for data heterogeneity in federated learning to solve the Non‑IID problem of client data distribution in federated learning. By combining global model sharing with local personalized optimization, each client can obtain a model adapted to its own data features while protecting data privacy.

Keywords: optimization algorithm, model aggregation, federated learning

🏆 Honors & Awards

None