Federated learning has long been pitched as the privacy-friendly way to train artificial intelligence: instead of shipping sensitive data to a central server, the model travels to the data, and only ...

Quantum cryptography has long promised a future in which sensitive computations can be carried out collectively without any single party learning the others’ secrets. A new study published in Q ...

Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks and to third parties, continues to elude mass-market scalability and ...

The pace of cloud adoption is relentless. Companies across every industry are racing to move their infrastructures to scalable, flexible, cloud-native environments. But as organizations go all-in on ...