EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

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

A survey on federated learning: A perspective from multi-party computation

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 ...
Security Boulevard

Post-Quantum Secure Federated Learning for decentralized MCP training.

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

3 National Security Labs, 1 Federated Learning AI Model

Sandia National Laboratories released information today spotlighting what the labs call a significant milestone in advancing artificial intelligence for national security. Over the past year, Sandia, ...
STAT

Federated learning: collaboration without compromise for health care research

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 ...
Forbes

From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used

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 ...
VentureBeat

Google’s federated analytics method could analyze end user data without invading privacy

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a blog post today, Google laid out the concept of federated analytics, ...