Federated learning: models come to the data, users keep control
Greg Osuri, Marko Stokic, Michael Heinrich & Luki Song on Can User-Owned AI Compete with Big Tech? (Nebular)
“Federated learning is a mechanism where models can be trained locally without giving access to the data and still be federated at a higher level. Now user owns the data — you’re not giving up the data… Just because a model is running on iPhone, it’s not running on the cloud — it’s still running locally, you still have access and full control of it.” — 00:04:24
Context: Asked how decentralized networks compete with Apple/Samsung on-device AI; he adds any technology extracting user data in 2024 faces “a PR disaster.”