Membership inference vulnerabilities in peer-to-peer federated learning
Federated learning is emerging as an efficient approach to exploit data silos that form due to regulations about data sharing and usage, thereby leveraging distributed resources to improve the learning of ML models. It is a fitting technology for cyber physical systems in applications like connected...
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Main Authors: | , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/173390 |
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機構: | Nanyang Technological University |
語言: | English |