3 papers
cs.LG2024
CCFC++: Enhancing Federated Clustering through Feature Decorrelation
Jie Yan, Jing Liu, Yi-Zi Ning +1
In federated clustering, multiple data-holding clients collaboratively group data without exchanging raw data. This field has seen notable advancements through its marriage with co…
cs.LG2024
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…
cs.LG2023
ClusterDDPM: An EM clustering framework with Denoising Diffusion Probabilistic Models
Jie Yan, Jing Liu, Zhong-yuan Zhang
Variational autoencoder (VAE) and generative adversarial networks (GAN) have found widespread applications in clustering and have achieved significant success. However, the potenti…