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DataFunSummit
DataFunSummit
Sep 22, 2022 · Information Security

Privacy Computing Enables Secure Medical Data Sharing and Analysis

This presentation introduces how privacy‑preserving computation technologies such as federated learning, trusted execution environments, and cryptographic methods empower the secure flow, analysis, and value extraction of large‑scale medical health data while addressing de‑identification risks and regulatory constraints.

Federated LearningPrivacy Computingai
0 likes · 19 min read
Privacy Computing Enables Secure Medical Data Sharing and Analysis
DataFunTalk
DataFunTalk
Nov 30, 2021 · Information Security

Privacy-Preserving Computation for Multi‑Center Medical Research: Challenges, Techniques, and Yidu Cloud Solutions

This article explains the background and challenges of medical multi‑center research, introduces privacy‑preserving computation concepts such as data‑usable‑invisible techniques, multi‑party secure computation and federated learning, and details Yidu Cloud's architecture, solutions, and real‑world case studies.

Privacy ComputingYidu Cloudmedical data security
0 likes · 18 min read
Privacy-Preserving Computation for Multi‑Center Medical Research: Challenges, Techniques, and Yidu Cloud Solutions