EurekAlert!

FTI-SLAM: federated learning-enhanced thermal-inertial SLAM

The workflow of FTI-SLAM framework. The SLAM front-end comprises federated learning-enhanced deep neural networks for odometry, embedding, and loop closure detection. After optimising odometry based ...
BizTech Magazine

Federated Machine Learning Gives Enterprises a Competitive AI Advantage

By bringing the training of ML models to users, organizations can advance their AI ambitions while maintaining data security.
EurekAlert!

Federated metadata-constrained iRadonMAP framework with mutual learning for all-in-one computed tomography imaging

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
Devdiscourse

Decentralized AI models take over healthcare systems

The study, titled “The Decentralized AI Ecosystem in Healthcare: A Systematic Review of Technologies, Governance, and ...
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 ...