Haoyang Liang

Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario

Traditional Federated Multi-View Clustering assumes uniform views across clients, yet practical deployments reveal heterogeneous view completeness with prevalent incomplete, redundant, or corrupted data. While recent approaches model view heterogeneity, they neglect semantic conflicts from dynamic v