Can federated learning solve AI’s data privacy problem?: A legal analysis
Federated learning (FL) is a method of training AI systems on different datasets without sharing data. The promise of FL is to enable AI systems to be trained on data, including personal data, while preserving data privacy and confidentiality, and thus, inter alia, facilitate compliance with data pr...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/sol_research/4517 https://ink.library.smu.edu.sg/context/sol_research/article/6475/viewcontent/Federated_Learning_A_legal_analysis.pdf |
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| Institution: | Singapore Management University |
| Language: | English |