Zacks Investment Research on MSN

RVTY & Eli Lilly partner to expand access to AI drug discovery models

Revvity, Inc. RVTY recently announced a collaboration with Eli Lilly and Company to make Eli Lilly’s TuneLab predictive ...
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!

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 ...
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.
Forbes

IBM Federated Learning Research - Extracting Machine Learning Models From Multiple Data Pools

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.
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 ...