Privacy-Preserving for Federated Learning with TII PetalGuard on AWS

The article discusses PetalGuard, a privacy-preserving federated learning framework developed by the Technology Innovation Institute (TII) and integrated with AWS services.

• Federated Learning allows multiple parties to train AI models without centralizing raw data
• PetalGuard uses Multi-Party Computation (MPC) to secure model updates across multiple servers
• Addresses privacy limitations in traditional federated learning by eliminating single points of trust
• Integrates with AWS services like EC2, ECR, and EKS for scalable and secure AI training
• Enables sensitive industries like healthcare and finance to adopt AI while maintaining data privacy

The solution is available on AWS Marketplace and offers a secure, scalable approach to collaborative AI development with enhanced privacy protections.