Privacy Preserving Multiclass Classification for Horizontally Distributed Data

@inproceedings{Lu2018PrivacyPM,
  title={Privacy Preserving Multiclass Classification for Horizontally Distributed Data},
  author={Yunmei Lu and Mingyuan Yan and Meng Han and Qingliang Zhang and Yanqing Zhang},
  booktitle={SIGITE},
  year={2018}
}
With the advent of the era of big data, applying data mining techniques on assembling data from multiple parties (or sources) has become a leading trend. In this work, a Privacy Preserving Multiclass Classification (PPM2C) method is proposed. Experimental results show that PPM2C is workable and stable. 

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