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 ...

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 ...

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

The rapid growth of AI-powered health tracking, driven by wearable devices and cloud integration, is producing unprecedented volumes of personal health data. While this enables real-time monitoring ...

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 ...

As the capacity of artificial intelligence (AI) increases at an exponential rate, so do concerns about the privacy of user data. Increasingly, organizations around the world are adopting something ...

Danske Bank, Credit Suisse, Santander Bank UK, USAA Federal Savings Bank and Wells Fargo have all been subjected to significant fines, collectively amounting to about $2.2 billion, for various ...