The AntChain privacy collaboration platform FAIR has upgraded its overall architecture, and the security matching capability of billion-level data has increased by more than 10 times

AntChain privacy collaboration platform FAIR announced an overall architecture upgrade at the 2022 World Artificial Intelligence Conference (WAIC), which further enhanced platform openness and large-scale computing performance. Yan Ying, Technical Director of AntChain, AntChain’s digital technology business group, said that the AntChain privacy collaboration platform FAIR is compatible with all types of privacy computing options, and has now realized the docking and interoperability with privacy computing open source frameworks such as Lingyu and FATE, as well as privacy computing systems such as Moss . Practice results show that the end-to-end computing capability of the FAIR platform for the secure matching (PSI) application of billion-level data has increased by more than 10 times, and the end-to-end algorithm capability in the joint modeling scenario of large-scale data (400,000 rows and 900 columns) has increased by 28 times , reducing a computational task that would typically take hours to less than 3 minutes. The privacy collaboration platform FAIR is developed by the AntChain team of Ant Digital. The collaboration process of the platform is driven by smart contracts, and the data flow is solved by a privacy computing engine. It uses blockchain technology to confirm rights, registration and transaction consensus.