QuTE: Decentralized multiple testing on sensor networks with false discovery rate control

@article{Ramdas2017QuTEDM,
  title={QuTE: Decentralized multiple testing on sensor networks with false discovery rate control},
  author={Aaditya Ramdas and Jianbo Chen and Martin J. Wainwright and Michael I. Jordan},
  journal={2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
  year={2017},
  pages={6415-6421}
}
The field of distributed estimation, computation, testing and learning on graphs has witnessed large advances in theory and wide adoption in practice. However, there do not currently exist any methods for multiple hypothesis testing on graphs that are equipped with provable guarantees on error metrics like the false discovery rate (FDR). In this paper, we consider a novel but natural setting where distinct agents reside on the nodes of an undirected graph, and each agent possesses p-values… CONTINUE READING

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