[PDF] Top 20 Efficient Logistic Regression on Large Encrypted Data
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Efficient Logistic Regression on Large Encrypted Data
... multiple data owner setting (Figure 1- b). In that case, each data owner shares the public key of the HE scheme and uploads his data to the cloud after encrypting with ...sensitive data while ... See full document
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An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
... two data sets, but the discrepancy in performance is not significant, since the problems are ...tisements data set, our method is most ...unstandardized large 20 Newsgroups data set, so we ... See full document
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More Efficient Estimation for Logistic Regression with Optimal Subsamples
... linear regression, Drineas et ...influential data units for the least squares (LS) ...the data with randomized Hadamard transform and then using uniform subsampling to approximate LS ...solving ... See full document
59
Trust Region Newton Method for Large-Scale Logistic Regression
... for logistic regression. Minka (2003) experiments with small data sets, and Malouf (2002) has done an extensive comparison for large-scale ...most efficient and effective ...very ... See full document
24
EPiC: Efficient Privacy-Preserving Counting for MapReduce
... an efficient, practical, yet privacy-preserving protocol for a fun- damental data analysis primitive in MapReduce: counting occurrences of patterns ...outsourced data set comprising a large ... See full document
18
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
... the large-scale sparse logistic regression usually requires expensive computational re- sources, depending on the specific solver, memory and/or CPU ...most efficient solver in the literature, ... See full document
29
An Efficient Encrypted Data Searching Over Out Sourced Data
... in large collaborative data outsourcing cloud environment and they may be suffer from the following two main ...the encrypted cloud data have to go through every retrieved file in order to ... See full document
5
Privacy-preserving logistic regression training
... Private logistic regression with the aid of homomorphic encryption has already been considered in [1, 2], but in a rather limited form: both papers assume that the logistic model has already been ... See full document
9
The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain)
... itation data at subdaily scale is available. Linear regression has shown that 30 min precipitation is linked more closely with damages than 24 h precipitation, and also the logistic regression ... See full document
12
Differentially private distributed logistic regression using private and public data
... to large changes on the parameters being ...very large when the noise destroys the Hessian matrix ’ s positive definiteness, which implies that a global optimal solution (like the one for the log-likelihood ... See full document
10
Infinitely Imbalanced Logistic Regression
... In active learning problems one must choose which data to gather. There are several kinds of active learning, as described in Tong (2001). The interventional setting is very similar to statisti- cal experimental ... See full document
13
Implementation of Efficient Method of Aggregate Key for Encrypted Cloud Data
... sharing encrypted data with various users with the help of public cloud storage may very much easiness security concerns over unintentional data leaks in the ...a data vendor only needs to ... See full document
6
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes
... GP regression partitions a regression domain into local regions, and an independent GP regression model is learned for each local ...GP regression becomes much ... See full document
29
Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... memory- efficient. For very large corpus, the data might not fit in memory and training primal MLR will take long time due to severe ...require large-scale ... See full document
6
Analysis of genome wide association data by large scale Bayesian logistic regression
... All analyses were performed on the GAW16 Problem 1 North American Rheumatoid Arthritis Consortium (NARAC) data. We analyzed 2705 SNPs on chromosome 9, ranging from 91,730,970 kb to 138,303,776 kb with minor allele ... See full document
6
Logistic Regression on Homomorphic Encrypted Data at Scale
... Microbenchmarks. We also executed our logistic regres- sion algorithm on the plaintext dataset, and compared the result to that of the ciphertext learning. Recall that the ap- proximate HE used in our algorithm ... See full document
6
Logistic regression over encrypted data from fully homomorphic encryption
... plaintext data using MATLAB are com- pared to models produced by training on encrypted ...both encrypted and unencrypted data, and compare the ...the encrypted computation (less than 1 ... See full document
10
Logistic regression over encrypted data from fully homomorphic encryption
... private data, such as medical data, genomic data, financial data and ...of data privacy during computation, but also comes with a high cost, especially in terms of computation ...train ... See full document
17
Survey on Efficient Reversible Data Hiding in Encrypted Images Transformation
... outsourcing data to the cloud,it is protect the confidentiality of data and support the cloud server to simply achieve the data at the same ...reversible data hiding in encrypted images ... See full document
5
EKST: Efficient Keyword Searching Technique for Encrypted Data in CipherCloud
... Abstract— cloud, coming days is accustomed, more and more receptive data are being centralized into the cloud. In cloud, we make perceptive information habitually have to be ciphertext before outsourcing because ... See full document
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