A federated learning differential privacy algorithm for non-Gaussian heterogeneous data
Abstract Multi-center heterogeneous data are a hot topic in federated learning. The data of clients and centers do not follow a normal distribution, posing significant challenges to learning. Based on the assumption that the client data have a multivariate skewed normal distribution, we improve the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-33044-y |