The Next Web

What is federated learning?

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...
Nature

Federated learning with hyper-network—a case study on whole slide image analysis

Federated learning(FL) is a new kind of Artificial Intelligence(AI) aimed at data privacy preservation that builds on decentralizing the training data for the deep learning model. This new technique ...
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 ...
Business Wire

Intel and Penn Medicine Announce Results of Largest Medical Federated Learning Study

Privacy-preserving AI technique enables researchers to improve cancerous brain tumor detection by 33%. SANTA CLARA, Calif.--(BUSINESS WIRE)--What’s New: Intel Labs ...
Nature

A federated graph learning method to realize multi-party collaboration for molecular discovery

Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. However, given the high research ...