Researchers have unveiled a collaborative encryption framework that trains deep learning models on sensitive data up to three times faster than existing homomorphic methods while keeping accuracy ...

Homomorphic encryption (HE) and federated learning (FL) are two different but related technologies that aim to solve the same problem: How can AI tasks such as machine learning be performed more ...

The total amount of money invested in the project. The total cost includes EU contribution as well as other project costs not covered by EU funding. It is expressed in euros. Amount of money, by way ...

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 ...

Now imagine another approach: instead of letting the jewelers have your pile of raw gold, it stays inside a locked box. Only you have the key. By inserting their hands into the box, the jeweler can ...

How FHE has evolved from a theoretical concept to a practical technology that’s ready for real-world applications. The unique benefits and challenges of implementing FHE, including why specialized ...

Quantum-resilient cryptography took a step forward this week with the launch of the FHE Technical Consortium for Hardware (FHETCH), a group focused on interoperability between fully homomorphic ...

Homomorphic encryption is the conversion of data into ciphertext that can be analyzed and worked with as if it were still in its original form. Homomorphic encryption enables complex mathematical ...

Data theft and data loss is an endemic problem on the internet. According to the firm Risk Based Security (via TechRepublic), 2020 alone saw 3,932 publicly disclosed breaches with 37 billion records ...