Gradient inversion-based inference attack against federated learning
Federated learning is a state-of-the-art paradigm where deep learning models based on servers can be trained without having direct access to private training data. In federated learning, clients transfer gradients to the server, which can be used to further improve the model. However, the gradients...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172760 |