97 citations · 543 across the 40 of their papers we have counts for
3 papers · 2 filters
Context-Aware Local Differential Privacy
Jayadev Acharya, Keith Bonawitz, Peter Kairouz +2
Local differential privacy (LDP) is a strong notion of privacy for individual users that often comes at the expense of a significant drop in utility. The classical definition of LD…
Optimal multiclass overfitting by sequence reconstruction from Hamming queries
Jayadev Acharya, Ananda Theertha Suresh
A primary concern of excessive reuse of test datasets in machine learning is that it can lead to overfitting. Multiclass classification was recently shown to be more resistant to o…
Distributed Learning with Sublinear Communication
Jayadev Acharya, Christopher De Sa, Dylan J. Foster +1
In distributed statistical learning, samples are split across machines and a learner wishes to use minimal communication to learn as well as if the examples were on a singl…