From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection

Jingwen Tong, Zhenzhen Chen, Liqun Fu +2

Federated learning (FL) is an appealing paradigm for learning a global model among distributed clients while preserving data privacy. Driven by the demand for high-quality user exp…