TNO

Federated learning: get to know privacy-preserving data analysis

Federated Learning is a decentralised and privacy-friendly form of machine learning. This means that there is no need for a central database to hold all of the sensitive data, so these data cannot be ...
VentureBeat

How (and why) federated learning enhances cybersecurity

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 ...
InfoWorld

Federated learning: The killer use case for generative AI

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 ...
VentureBeat

Major pharma companies, including Novartis and Merck, build federated learning platform for drug discovery

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Last June, 10 major pharmaceutical ...
EurekAlert!

New defense strategy for federated learning, capping accuracy loss at 0.47%

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...
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, ...