Efficient multi-objective peer-to-peer federated learning
Machine learning (ML) had proliferated in recent years, leading to higher scrutiny of how the training dataset is collated from multiple sources. Due to privacy concerns, Federated Learning is implemented to ensure that users’ privacy is not violated in the process of using their data for ML model...
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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/10356/165873 |