At Bagel, we've taken on the challenge of unlocking decentralized AI's potential while safeguarding data and model privacy. Our research team has made significant breakthroughs that we believe will transform the field. Curious?

Read here:

At Bagel, we've taken on the challenge of unlocking decentralized AI's potential while safeguarding data and model privacy. Our research team has made significant breakthroughs that we believe will transform the field. Curious?

Read here: https://blog.bagel.net/p/with-great-data-comes-great-responsibility

Machine learning and cryptography research lab.

✍️ blog.bagel.net 

That's why we've developed a novel cryptographic approach at Bagel. Our solution is designed to achieve truly decentralized, private and scalable machine learning. We're excited to share more about this shift soon.

We've thoroughly investigated the current state of privacy preserving machine learning (PPML) techniques, including differential privacy, zkml, federated learning and FHE. Our conclusion? Today's solutions can't fully deliver end-to-end privacy without sacrificing scalability or trust.