Name
Abstract | ||
|---|---|---|
Motivated by distributed inference over big datasets problems, we study multi-terminal distributed hypothesis testing problems in which each terminal has data related to only one random variable. Due to the restriction of one-shot communication, we consider the distributed testing against independence problem when interaction among the encoders are allowed. Subject to type 1 error probability and communication rates constraints, we first provide a scheme for the general case and then show that this scheme is optimal for some special cases. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ITWF.2015.7360726 | 2015 IEEE Information Theory Workshop - Fall (ITW) |
Keywords | Field | DocType |
Distributed learning,error exponent,hypothesis testing,interactive communication | Random variable,Markov process,Computer science,Inference,Distributed testing,Theoretical computer science,Encoder,Sum of normally distributed random variables,Statistical hypothesis testing,Encoding (memory) | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenwen Zhao | 1 | 10 | 1.97 |
| Lifeng Lai | 2 | 2289 | 167.78 |