Personalized federated learning with dynamic clustering and model distillation

Personalized federated learning with dynamic clustering and model distillation

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...

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Bibliographic Details
Main Author:	Bao, Junyan
Other Authors:	Tay Wee Peng
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2025
Subjects:	Computer and Information Science Federated learning Hierarchical clustering Knowledge distillation
Online Access:	https://hdl.handle.net/10356/181935

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