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Communication Complexity of Statistical Distance

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 (n log n). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computation Theory (TOCT) Association for Computing Machinery

Communication Complexity of Statistical Distance

ACM Transactions on Computation Theory (TOCT) , Volume 10 (1): 11 – Jan 24, 2018

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2018 ACM
ISSN
1942-3454
eISSN
1942-3462
DOI
10.1145/3170708
Publisher site
See Article on Publisher Site

Abstract

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 (n log n).

Journal

ACM Transactions on Computation Theory (TOCT)Association for Computing Machinery

Published: Jan 24, 2018

Keywords: Communication

References