Clustered federated learning (FL), which groups clients with similar data distributions for collaborative training, represents a pivotal technique within federated learning for effectively addressing ...

Data integration is utilized to integrate heterogeneous data from multiple sources, representing a crucial step to improve information value in data analysis and mining. Incorporating machine and deep ...