Federated learning for data analytics in education
Federated learning techniques aim to train and build machine learning models based on distributed datasets across multiple devices while avoiding data leakage. The main idea is to perform training on remote devices or isolated data centers without transferring data to centralized repositories, thus...
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| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
| Published: |
2023
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| Online Access: | https://www.mdpi.com/2306-5729/8/2/43 https://hdl.handle.net/20.500.12008/39851 |
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