sample-stability loss

New Fed-BRDECS framework enhances privacy in federated deep clustering

Researchers have developed Fed-BRDECS, a novel framework for federated deep embedded clustering that enhances privacy and handles data heterogeneity across clients. This method replaces global clustering objectives with…