隐私计算支撑服务

基于多方安全计算、联邦学习、可信执行环境、区块链等技术，解决企业数据协同计算过程中的数据安全和隐私保护问题，实现数据可用不可见，多方协同释放数据要素价值

Based on technologies such as multi-party secure computation (MPC), federated learning (FL), trusted execution environment (TEE), blockchain and others, this dataset addresses the problems of data security and privacy protection in the process of collaborative data computing between enterprises, and achieves the goal of "data available but not visible", enabling multiple parties to jointly release the value of data elements.

搜集汇总

背景与挑战

背景概述

该数据集提供基于多方安全计算、联邦学习等技术的隐私计算服务，确保数据协同过程中的安全与隐私，实现数据可用不可见，促进多方数据价值共享。