2 papers
cs.LG2025
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
Federated clustering (FC) aims to discover global cluster structures across decentralized clients without sharing raw data, making privacy preservation a fundamental requirement. T…
cs.LG2025
CCFC: Bridging Federated Clustering and Contrastive Learning
Jing Liu, Jie Yan, Zhong-Yuan Zhang
Federated clustering, an essential extension of centralized clustering for federated scenarios, enables multiple data-holding clients to collaboratively group data while keeping th…