Researchers with the Missouri University of Science and Technology are hoping to use federated learning to train algorithms in an attempt to secure devices that make up the Internet of Things.

A federated learning model offers new possibilities for keeping information collected from the Internet of Things anonymous and private.

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

Making medical IoT devices more secure with machine and deep learning - SiliconANGLEA message from John Furrier, co-founder of SiliconANGLE: Your vote of support is important to us and it helps us ...

Unlock the synergy of blockchain and machine learning! This guide explores building decentralized models, enhancing accessibility and fostering innovation.

The growing democratization of artificial intelligence and machine learning is largely driven by the accessibility of open-source 'Foundational Models' on platforms like Hugging Face.

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning.