Abstract
So far, the privacy-preserving machine learning has been a fruitful and long-standing research topic in both academic community and industry. With the development of cloud computing and the increasing concern of data privacy, we believe that more and more researchers will focus on this hot topic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Li, J., Li, P., Liu, Z., Chen, X., Li, T. (2022). Conclusion. In: Privacy-Preserving Machine Learning. SpringerBriefs on Cyber Security Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-9139-3_8
Download citation
DOI: https://doi.org/10.1007/978-981-16-9139-3_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9138-6
Online ISBN: 978-981-16-9139-3
eBook Packages: Computer ScienceComputer Science (R0)