Federated learning is an emerging paradigm in which multiple participants collaboratively train machine-learning models without exchanging raw data. Instead, each participant computes local model ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

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 ...

Apple has shared recordings of talks from its workshop about privacy and machine learning, demonstrating how it is considering how to protect user data while it is processed using AI. Apple has ...

The use of AI in health care is challenging because sensitive patient data is scattered across different systems, and its use ...