2026
Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario
AAAI 2026technical
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