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 ...
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 ...
Zacks.com on MSN

RVTY & Eli Lilly Partner to Expand Access to AI Drug Discovery Models

Revvity teams up with Eli Lilly to bring TuneLab AI models to Signals Xynthetica, aiming to unlock secure, federated drug ...
Security Boulevard

JWT Claims Explained: Complete Guide to Standard & Custom JWT Token Claims

Learn everything about JWT claims in our complete guide. Master registered, public, and private claims for secure Enterprise SSO and CIAM solutions.
Finextra

Federated learning in fraud detection: From proof of concept to practical adoption

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...
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 ...