Personalized federated learning with dynamic clustering and model distillation

• المؤلف الرئيسي: Bao, Junyan
• مؤلفون آخرون: Tay Wee Peng
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Computer and Information Science; Federated learning; Hierarchical clustering; Knowledge distillation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181935

Federated learning is a distributed machine learning technique that allows various data sources to work together to train models while keeping their raw data private. However, federated learning faces many challenges when dealing with non-independent and identically distributed (Non-IID) data, espec...