federated learning

Flower lands $3.6M to grow its platform for federated learning

The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of C

DynamoFL aims to bring privacy-preserving AI to more industries

Data privacy regulations like GDPR, the CCPA and HIPAA present a challenge to training AI systems on sensitive data, like financial transactions, patient health records and user device logs. Historica

4 questions to ask before building a computer vision model

Before founders begin building AI systems, they should think carefully about their risk appetite, data management practices and strategies for future-proofing their AI stack.

Xayn is privacy-safe, personalized mobile web search powered by on-device AIs

As TC readers know, the tricky trade-off of the modern web is privacy for convenience. Online tracking is how this ‘great intimacy robbery’ is pulled off. Mass surveillance of what Interne

DataFleets keeps private data useful and useful data private with federated learning and $4.5M seed

As you may already know, there’s a lot of data out there, and some of it could actually be pretty useful. But privacy and security considerations often put strict limitations on how it can be us