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Secure Approximation Guarantee for Cryptographically Private Empirical
  Risk Minimization

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization

15 February 2016
Toshiyuki Takada
Hiroyuki Hanada
Yoshiji Yamada
Jun Sakuma
Ichiro Takeuchi
ArXiv (abs)PDFHTML

Papers citing "Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization"

3 / 3 papers shown
Efficient Model Selection for Predictive Pattern Mining Model by Safe
  Pattern Pruning
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning
Takumi Yoshida
Hiroyuki Hanada
K. Nakagawa
Kouichi Taji
Koji Tsuda
I. Takeuchi
TPM
298
4
0
23 Jun 2023
Private Hierarchical Clustering and Efficient Approximation
Private Hierarchical Clustering and Efficient Approximation
Xianrui Meng
D. Papadopoulos
Alina Oprea
Nikos Triandopoulos
FedML
211
0
0
09 Apr 2019
Safe Triplet Screening for Distance Metric Learning
Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida
Ichiro Takeuchi
Masayuki Karasuyama
319
17
0
12 Feb 2018
1
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