Zican He

Bridging Inter-View and Client Heterogeneity: Federated Multi-View Clustering Under Non-IID Data

Federated multi-view clustering (FedMVC) has been widely used to discover latent structures in distributed multi-view data, but most methods assume independent and identically distributed (IID) data. In practice, non-IID distributions with partial and imbalanced categories cause clients to learn bia