Encrypted Gradient Descent Protocol for Outsourced Data Mining

Abstract

With the push of cloud computing which has both resource and compute scalability, data, which has been exploding in the past years, are often outsourced to a server. To this end, secure and efficient data processing and mining on outsourced private database becomes a primary concern for users. Among different secure data mining and machine learning… (More)
DOI: 10.1109/AINA.2015.204

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Cite this paper

@article{Liu2015EncryptedGD, title={Encrypted Gradient Descent Protocol for Outsourced Data Mining}, author={Fang Liu and Wee Keong Ng and Wei Zhang}, journal={2015 IEEE 29th International Conference on Advanced Information Networking and Applications}, year={2015}, pages={339-346} }