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

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

MIDN enables multiple healthcare institutions to collaboratively impute missing data without sharing raw patient data. Only aggregated statistics are exchanged, ensuring patient privacy while ...

It supports client-wise data partitioning and federated learning with feature selection for high-dimensional tabular datasets like IoT-IDS or spam classification. spambase-fed-bfa.ipynb Federated BFA ...

However, there is a scarcity of clear and comprehensive evidence that compares the performance of federated learning (FL) with that of the established centralized machine learning (CML) in the ...

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...