FedCP
Feature separator
A framework that separates feature information from data in federated learning to enable personalized models.
KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
25 stars
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Language: Python
last commit: 2 months ago conditional-computingfeature-disentanglementfederated-learningheterogeneitynon-iid-datapersonalization
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