Privacy-preservation for gradient descent methods

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2007, Pages 775-783

  Wan, Li ^a   Ng, Wee Keong ^a   Han, Shuguo ^a   Lee, Vincent C S ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MONASH UNIVERSITY   (Australia)

Author keywords

Gradient descent method; Privacy preservation; Regression; Secure multi party computation

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; GENETIC ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; STOCHASTIC MODELS;

GRADIENT DESCENT METHOD; PRIVACY PRESERVATION; SECURE MULTI-PARTY COMPUTATION;

GRADIENT METHODS;

EID: 36849062662     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281192.1281275     Document Type: Conference Paper

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