Secure Data with Fully Homomorphic Encryption 🔒 | Research Saturday

Guest Dr. Rosario Cammarota from Intel Labs joins us to discuss confidential computing. Confidential computing provides a secure platform for multiple parties to combine, analyze and learn from sensitive data without exposing their data or machine learning algorithms to the other party. This technique goes by several names — multiparty computing, federated learning and privacy-preserving analytics, among them. Confidential computing can enable this type of collaboration while preserving privacy and regulatory compliance.

The research and supporting documents can be found here:

• Intel Labs Day 2020: Confidential Computing
• Confidential Computing Presentation Slides
• Demo video