隐私计算系统

基于联邦学习、多方安全计算等技术独立创新自研的隐私保护计算平台产品，具有“高安全性、高兼容性、高连接性”特点。让数据可用不可见，加速数据要素安全流通，保障用户数据之间安全互通合作。An independently innovated and self-developed privacy-preserving computing platform product based on technologies such as federated learning and multi-party secure computing. It features high security, high compatibility and high connectivity, enables data to be usable while keeping raw data undisclosed, accelerates the secure circulation of data elements, and ensures secure intercommunication and cooperation among user data.

搜集汇总

背景与挑战

背景概述

该数据集描述了一个隐私计算系统，利用联邦学习和多方安全计算技术，确保数据在无泄露风险的前提下实现安全流通和价值挖掘。