Enhancing AI Model Security with Federated Learning

Federated Learning for Enhanced AI Security

Machine learning models necessitate careful development to prevent cyberattacks and eliminate single points of failure.

The Benefits of Decentralised Data

This post delves into the advantages of utilising federated learning techniques to bolster the security of AI models.

• Enhanced Security: Federated learning minimises the risk of cyberattacks by distributing data across multiple devices.
• Data Privacy: Decentralised data approach protects sensitive information and improves privacy compliance.