Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
Federated Learning (FL) is a pivotal approach in decentralized machine learning, especially when data privacy is crucial and direct data sharing is impractical. While FL is typically associated with supervised learning, its potential in unsupervised scenarios is underexplored. This paper introduces...
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