AISWare MPC 隐私计算平台

以多方安全计算（MPC）、联邦学习（FL）、区块链（BC）等技术为基础的平台，平台支持隐私计算的多个合作方在原始数据不出本地的前提下进行隐匿查询、安全求交、多方计算、联合建模等数据开放合作。A platform based on technologies including secure multi-party computation (MPC), federated learning (FL), and blockchain (BC), which enables multiple collaborating parties engaged in privacy computing to conduct data open collaboration activities such as oblivious query, secure set intersection, secure multi-party computation, and joint modeling, without transferring their raw data out of their local environments.

搜集汇总

背景与挑战

背景概述

该平台整合多方安全计算、联邦学习及区块链技术，支持合作方在不共享原始数据的情况下进行隐匿查询、联合建模等隐私计算操作。