Researchers from North Carolina State University have developed a new approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly and ...

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

A research team led by Professor Sang-hyun Park of the Department of Robotics and Mechanical Engineering/Artificial Intelligence, Daegu Gyeongbuk Institute of Science ...