Communication complexity of statistical distance
We prove nearly matching upper and lower bounds on the randomized communication complexity of the following problem: Alice and Bob are each given a probability distribution over n elements, and they wish to estimate within ±ϵ the statistical (total variation) distance between their distributions. For some range of parameters, there is up to a log n factor gap between the upper and lower bounds, and we identify a barrier to using information complexity techniques to improve the lower bound in this case. We also prove a side result that we discovered along the way: the randomized communication complexity of n-bit Majority composed with n-bit Greater-Than is O(n log n).
Leibniz International Proceedings in Informatics, LIPIcs
Watson, T. (2017). Communication complexity of statistical distance. Leibniz International Proceedings in Informatics, LIPIcs, 81 https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2017.49