BriefGPT.xyz
Jan, 2022
面向联邦聚类的联邦模糊c均值算法 (FFCM)
Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)
HTML
PDF
Morris Stallmann, Anna Wilbik
TL;DR
本文关注于联邦聚类问题，提出了一种用于联邦学习的延伸模糊C均值算法，并通过数值实验评估了其行为，其中一种方法即使在复杂情况下也能够确定良好的全局聚类中心，但也认识到许多挑战的问题仍然存在。
Abstract
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.
→