A Huber Loss Minimization Approach to Mean Estimation under User-level
Differential Privacy
A Huber Loss Minimization Approach to Mean Estimation under User-level
Differential Privacy
Privacy protection of users' entire contribution of samples is important in distributed systems. The most effective approach is the two-stage scheme, which finds a small interval first and then gets a refined estimate by clipping samples into the interval. However, the clipping operation induces bias, which is serious if the …