鸿枢开阳隐私计算平台

通过联邦学习、安全多方计算等隐私计算技术，实现数据可用不可见；提供联邦学习、隐匿查询/计算、信息安全核验等核心引擎，具备合作方管理、数据管理、项目管理、任务管理、模型管理、服务管理等功能模块，已申请三十余项发明专利（其中四项已获得授权）。

By leveraging privacy-preserving computing technologies including federated learning and secure multi-party computation, this system realizes the concept of "data usable but not visible". It provides core engines such as federated learning, oblivious query/computation, and information security verification, and is equipped with functional modules including partner management, data management, project management, task management, model management and service management. Over 30 invention patent applications have been filed, with 4 of them already granted.

搜集汇总

背景与挑战

背景概述

鸿枢开阳隐私计算平台采用联邦学习和安全多方计算技术，提供多种隐私计算引擎及管理模块，已申请三十余项发明专利。