The Ant Chain Privacy Collaboration Platform FAIR upgrades its overall architecture, enhancing its capability for secure matching of hundreds of millions of data by more than 10 times

Chain Catcher news, Ant Chain's privacy collaboration platform FAIR announced an overall architecture upgrade at the 2022 World Artificial Intelligence Conference (WAIC), further enhancing the platform's openness and large-scale computing performance. Yan Ying, the technical director of Ant Chain at Ant Group's Digital Technology Business Group, stated that the Ant Chain privacy collaboration platform FAIR is compatible with all types of privacy computing selections, and has already achieved interoperability with open-source frameworks such as Yinyu and FATE, as well as privacy computing systems like Morse.

Practical results show that the FAIR platform has improved end-to-end computing capabilities by more than 10 times in secure matching (PSI) applications for hundreds of millions of data, and enhanced end-to-end algorithm capabilities by 28 times in large-scale data (400,000 rows and 900 columns) joint modeling scenarios, reducing typical computing tasks that usually take hours to less than 3 minutes. (Source link)