Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM). (arXiv:2201.07316v1 [cs.LG])

Federated Learning (FL) is a setting where multiple parties with distributed
data collaborate in training a joint Machine Learning (ML) model while keeping
all data local at the parties. Federated clustering is an area of research
within FL that is concerned with grouping together data that is globally
similar while keeping all data local. We describe how this area of research can
be of interest in itself, or how it helps addressing issues like
non-independently-identically-distributed (i.i.d.) data in supervised FL …

algorithm arxiv clustering