Differential privacy in peer-to-peer federated learning
Neural networks have become tremendously successful in recent times due to larger computing power and availability of tagged datasets for various applications. Training these networks is computationally demanding and often requires proprietary datasets to yield usable insights. In order to incent...
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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/10356/165929 |