On a Framework for Federated Cluster Analysis

On a Framework for Federated Cluster Analysis

Federated learning is becoming increasingly popular to enable automated learning in distributed networks of autonomous partners without sharing raw data. Many works focus on supervised learning, while the area of federated unsupervised learning, similar to federated clustering, is still less explore...

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Bibliographic Details
Main Authors: Morris Stallmann, Anna Wilbik
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
federated learning
framework
cluster analysis
cluster number determination
federated fuzzy Davies–Bouldin index
federated cluster validation metric
Online Access:https://www.mdpi.com/2076-3417/12/20/10455

Internet

https://www.mdpi.com/2076-3417/12/20/10455

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