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Noisy Group Testing (Quick and Efficient) Sheng Cai, Mayank Bakshi, Sidharth Jaggi The Chinese University of Hong Kong Mohammad Jahangoshahi Sharif University of Technology
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q Group Testing For Pr(error)< ε, Lower bound of number of tests: What’s known [CCJS11] 2 q Chun Lam Chan; Pak Hou Che; Jaggi, S.; Saligrama, V.;, "Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms," 49th Annual Allerton Conference on Communication, Control, and Computing, pp.1832-1839, 28-30 Sept. 2011 [CCJS11] Adaptive vs. Non-adaptive
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Decoding complexity # Tests Lower bound Lower bound Adaptive Non-Adaptive Two-Stage Adaptive This work O(poly(D)log(N)),O(D 2 log(N)) O(DN),O(Dlog(N)) [NPR12] O(Dlog(N)) 3
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Hammer: GROTESQUE Testing 4
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Testing Matrix IN OUT Negative 0 Positive 1 5
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Multiplicity ? 6
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Multiplicity (d = 0) 7
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7 d = 0 No positive tests
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Multiplicity (d = 1) 8
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8 d = 1 50% positive tests
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Multiplicity (d = 2) 9
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9 d = 2 75% positive tests Statistical Difference!
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Multiplicity ? 10
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Localization 11 ?
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Localization BSC (q) Channel Expander Codes Decoder Signature Test Outcome Particular Signature 12
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Hammer: GROTESQUE Testing 4
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Nail: “Good” Partioning N items D defectives 13
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Adaptive Group Testing Groups 14
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Adaptive Group Testing 14 Decaying geometrically Tests Groups
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Adaptive Group Testing 14 The number of unidentified defectives <
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Adaptive Group Testing 14 Tests of size Coupon Collection
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Non-Adaptive Group Testing Groupsconstant fraction of “Good” groups Tests 15
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Non-Adaptive Group Testing 15
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Non-Adaptive Group Testing 15 Independent partitions Coupon Collection Tests
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2-Stage Adaptive Group Testing 16 Groups (Birthdays)
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2-Stage Adaptive Group Testing Non-adaptive Group Testing 16 + Tests
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Summary of this work Decoding complexity # Tests O(Dlog(N)) 3
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THANK YOU 謝謝
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