| 书目名称 | On Architecting Fully Homomorphic Encryption-based Computing Systems |
| 编辑 | Rashmi Agrawal,Ajay Joshi |
| 视频video | |
| 概述 | Provides Single-source reference to Fully Homomorphic Encryption (FHE)-based computing.Discusses design challenges for an FHE-based system, using different hardware backends (CPU, GPU, FPGA, and ASIC) |
| 丛书名称 | Synthesis Lectures on Computer Architecture |
| 图书封面 |  |
| 描述 | .This book provides an introduction to the key concepts of Fully Homomorphic Encryption (FHE)-based computing, and discusses the challenges associated with architecting FHE-based computing systems. Readers will see that due to FHE’s ability to compute on encrypted data, it is a promising solution to address privacy concerns arising from cloud-based services commonly used for a variety of applications including healthcare, financial, transportation, and weather forecasting. This book explains the fundamentals of the FHE operations and then presents an architectural analysis of the FHE-based computing. The authors also highlight challenges associated with accelerating FHE on various commodity platforms and argue that the FPGA platform provides a sweet spot in making privacy-preserving computing plausible.. |
| 出版日期 | Book 2023 |
| 关键词 | Privacy-preserving computing; Homomorphic encryption; Machine learning on private data; CKKS scheme; Com |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-31754-5 |
| isbn_softcover | 978-3-031-31756-9 |
| isbn_ebook | 978-3-031-31754-5Series ISSN 1935-3235 Series E-ISSN 1935-3243 |
| issn_series | 1935-3235 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:13:56
