Review for NeurIPS paper: Statistical Guarantees of Distributed Nearest Neighbor Classification

The paper provides some interesting insights into distributed weighted nearest neighbors methods with some nice theoretical implications. I believe the results would be of interest to the nonparametric statistics community. If accepted, additional experimental results against widely used scalable nearest neighbors approaches would greatly improve the practical impact of the work -- however this suggestion is optional and at the discretion of the authors.