Study on attacks against federated learning
Federated learning is a decentralised form of machine learning, offering the benefits of large amounts of user data across multiple entities, but in a way that user data do not have to change hands. As data privacy concerns become more prevalent, and laws become more widespread, federated learning i...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162847 |