Distributed Reconstruction of Noisy Pooled Data
Author:
Affiliation:
1. TU Dortmund University,Dortmund,Germany
2. TU Hamburg,Hamburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9912136/9912128/09912157.pdf?arnumber=9912157
Reference55 articles.
1. Combinatorial quantitative group testing with adversarially perturbed measurements: Fundamental limits and algorithm design;li,2022
2. SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes
3. Performance of Group Testing Algorithms With Near-Constant Tests Per Item
4. Distributed approximate message passing for sparse signal recovery
5. Near optimal efficient decoding from pooled data;hahn-klimroth,2021
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