.png){kind=icon}
返回
Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
.png){kind=icon}
PRE
AI
DOI：10.1109/TPDS.2013.18.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To improve the accuracy of learning result, in practice multiple parties may collaborate through conducting joint Back-Propagation neural network learning on the union of their respective data sets. During this process no party wants to disclose her/his private data to others. Existing schemes supporting this kind of collaborative learning are either limited in the way of data partition or just consider two parties. There lacks a solution that allows two or more parties, each with an arbitrarily partitioned data set, to collaboratively conduct the learning. This paper solves this open problem by utilizing the power of cloud computing. In our proposed scheme, each party encrypts his/her private data locally and uploads the ciphertexts into the cloud. The cloud then executes most of the operations pertaining to the learning algorithms over ciphertexts without knowing the original private data. By securely offloading the expensive operations to the cloud, we keep the computation and communication costs on each party minimal and independent to the number of participants. To support flexible operations over ciphertexts, we adopt and tailor the BGN doubly homomorphic encryption algorithm for the multiparty setting. Numerical analysis and experiments on commodity cloud show that our scheme is secure, efficient, and accurate.
Keyword:
Privacy reserving
learning
neural network
back-propagation
cloud computing
computation outsource
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
5.2K
被引数:
1.1W
机构
引用论文
Choline acetyltransferase. Reversible inhibition by bromoacetyl coenzyme A and bromoacetylcholine.png)
Biochemistry
BiochemistryIF0
PREAI
分享收藏Back-propagation learning in improving the accuracy of neural network-based tourism demand forecastingTOURISM MANAGEMENT
TOURISM MANAGEMENTIF12.4
PREAI
分享收藏
分享收藏分享收藏 没有更多内容
没有更多内容