* This paper has been accepted for publication at IEEE S&P 2023. Please
cite this paper as "Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei
Wang, Weili Han. Private, Efficient, and Accurate: Protecting Models Trained
by Multi-party Learning with Differential Privacy. In Proceedings of The 44th
IEEE Symposium on Security and Privacy, San Francisco, May 22-26, 2023." Access Paper or Ask Questions