Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Researchers have unveiled a real-time dashboard that detects, analyzes, and defends federated learning AI systems—boosting trust and security in ...

Science is moving fast, but STEM hasn’t kept pace. At a time when we need more scientists, engineers, and healthcare ...

AI revolutionizes solar forecasting with transparent federated learning The researchers enhance classical federated learning by introducing a clustering mechanism that groups clients based on similar ...

Rhino’s Federated Computing Platform (Rhino FCP) unites siloed data with edge computing and federated learning, empowering enterprises to accelerate data strategies and to expand AI partnerships ...

The strategy of federation in AI deployments Federated learning is emerging as a game-changing approach for enterprises looking to leverage the power of LLMs while maintaining data privacy and ...

Description The Federated Learning Line Icon illustrates a decentralized machine learning model, featuring multiple devices connected in a network, symbolizing collaborative learning without sharing ...

Apheris, Röhm’s startup, aims to address this through federated computing: making data securely accessible for AI model training without moving it by taking a decentralized approach.

In the era of Big Data, artificial intelligence and information science are the key technologies to extract the value of data and enhance the competitiveness of enterprises. The characteristics of ...