Igor Škrjanc

Evolving federated density peak clustering with shuffler-based anonymization

Abstract In this paper, we present a novel one-shot federated clustering approach based on evolving fuzzy clustering and shuffler-based anonymization. In federated clustering, each round reveals additional model information to the server and can increase the opportunity to infer properties of local datasets, even when...