Ditto: Quantization-aware Secure Inference of Transformers upon MPC

no code implementations • 9 May 2024 • Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Yinggui Wang, Lei Wang

Then, we propose novel MPC primitives to support the type conversions that are essential in quantization and implement the quantization-aware MPC execution of secure quantized inference.

Quantization

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation

no code implementations • 6 Dec 2020 • Lushan Song, Guopeng Lin, Jiaxuan Wang, Haoqi Wu, Wenqiang Ruan, Weili Han

At first, we define the problem of Training machine learning Models over Multiple data sources with Privacy Preservation (TMMPP for short).

BIG-bench Machine Learning Federated Learning +1