Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN
Recently, Machine Learning (ML) has made great achievements in a wide range of fields with the increasing data exploring. However, the development of ML faces the challenges of data silos due to privacy considerations. Then with distributed ML architecture appearing, the training tasks can be comple...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-12-01
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| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020037 |
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