In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

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

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

The Great Power Competition is no longer confined to traditional warfare. It plays out in data, algorithms and artificial intelligence (AI). As adversaries weaponize misinformation and cyber attacks ...

As governments push for stronger data rights like the “right to be forgotten,” evidence suggests AI may not fully comply, raising new regulatory challenges.

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...

In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from ...