Privacy-preserving federating learning with differential privacy
Federated Learning represents a cutting-edge AI approach, facilitating collaborative model training across distributed devices, with applications spanning various sectors. For instance, in healthcare, institutions ollaborate to predict diseases while ensuring patient data remains decentralized. S...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175164 |