Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Federated learning (FL) has emerged as a popular machine learning paradigm which allows multiple data owners to train models collaboratively with out sharing their raw datasets. It holds potential for ...

What if we could learn from massive collections of data while avoiding the privacy and other risks typically associated with sharing such information? The Mayo Clinic has taken a step toward making ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More IT decision-makers are using artificial intelligence (AI) ...

The use of Artificial Intelligence (AI) in healthcare holds a lot of promise. It’s already making big improvements in diagnosis, decision support, making work more efficient, and managing health ...

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

Federated Learning is a game-changing approach to machine learning, focusing on the decentralisation of data. This approach emphasises privacy preservation, which has become a key concern in the era ...

To get started: Data is the New Gold, but Privacy is the Vault! The data, and more specifically, customer data, is everything in finance. Whether you've seen it at a ...