Search Results for author: Yuichiro Toda

Found 1 papers, 1 papers with code

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory

1 code implementation7 Sep 2023 Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota

In the clustering domain, various algorithms with a federated learning framework (i. e., federated clustering) have been actively studied and showed high clustering performance while preserving data privacy.

Clustering Continual Learning +2

Cannot find the paper you are looking for? You can Submit a new open access paper.