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Privacy-Preserving Protocols for Eigenvector Computation
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Privacy-Preserving Protocols for Eigenvector Computation

Privacy and Security Issues in Data Mining and Machine Learning (IDMML), 2010
19 February 2010
Manas A. Pathak
Bhiksha Raj
ArXiv (abs)PDFHTML

Papers citing "Privacy-Preserving Protocols for Eigenvector Computation"

2 / 2 papers shown
PPCA: Privacy-preserving Principal Component Analysis Using Secure
  Multiparty Computation(MPC)
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
Xiaoyu Fan
Guosai Wang
Kung Chen
Xu He
Weijiang Xu
164
15
0
17 May 2021
Fast and Secure Distributed Nonnegative Matrix Factorization
Fast and Secure Distributed Nonnegative Matrix FactorizationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Yuqiu Qian
Conghui Tan
Danhao Ding
Hui Li
N. Mamoulis
268
14
0
07 Sep 2020
1
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