Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
–Neural Information Processing Systems
Recently, federated multi-view clustering (FedMVC) has emerged to explore cluster structures in multi-view data distributed on multiple clients. Many existing approaches tend to assume that clients are isomorphic and all of them belong to either single-view clients or multi-view clients.
Neural Information Processing Systems
Feb-11-2026, 21:18:33 GMT
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