CoFHE: Software and hardware Co-design for FHE-based machine learning as a service
Introduction: Privacy concerns arise whenever sensitive data is outsourced to untrusted Machine Learning as a Service (MLaaS) platforms. Fully Homomorphic Encryption (FHE) emerges one of the most promising solutions to implementing privacy-preserving MLaaS. But prior FHE-based MLaaS faces challenges...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Electronics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/felec.2022.1091369/full |