Dishonest Majority Multiparty Computation over Matrix Rings

ePrint Report: Dishonest Majority Multiparty Computation over Matrix Rings

Hongqing Liu, Chaoping Xing, Chen Yuan, Taoxu Zou

The privacy-preserving machine learning (PPML) has gained growing importance over the last few years. One of the biggest challenges is to improve the efficiency of PPML so that the communication and computation costs of PPML are affordable for large machine learning models such as deep learning. As we know, linear algebra such as matrix multiplication occupies a significant part of the computation in …

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