ECCC-Report TR20-154https://eccc.weizmann.ac.il/report/2020/154Comments and Revisions published for TR20-154en-usSat, 10 Oct 2020 14:21:31 +0300
Paper TR20-154
| A Structural Theorem for Local Algorithms with Applications to Coding, Testing, and Privacy |
Marcel Dall'Agnol,
Tom Gur,
Oded Lachish
https://eccc.weizmann.ac.il/report/2020/154We prove a general structural theorem for a wide family of local algorithms, which includes property testers, local decoders, and PCPs of proximity. Namely, we show that the structure of every algorithm that makes $q$ adaptive queries and satisfies a natural robustness condition admits a sample-based algorithm with $n^{1- 1/O(q^2 \log^2 q)}$ sample complexity, following the definition of Goldreich and Ron (TOCT 2016). We prove that this transformation is nearly optimal. Our theorem also admits a scheme for constructing privacy-preserving local algorithms.
Using the unified view that our structural theorem provides, we obtain results regarding various types of local algorithms, including the following.
- We strengthen the state-of-the-art lower bound for relaxed locally decodable codes, obtaining an exponential improvement on the dependency in query complexity; this resolves an open problem raised by Gur and Lachish (SODA 2020).
- We show that any (constant-query) testable property admits a sample-based tester with sublinear sample complexity; this resolves a problem left open in a work of Fischer, Lachish, and Vasudev (FOCS 2015) by extending their main result to adaptive testers.
- We prove that the known separation between proofs of proximity and testers is essentially maximal; this resolves a problem left open by Gur and Rothblum (ECCC 2013, Computational Complexity 2018) regarding sublinear-time delegation of computation.
Our techniques strongly rely on relaxed sunflower lemmas and the Hajnal–Szemerédi theorem.Sat, 10 Oct 2020 14:21:31 +0300https://eccc.weizmann.ac.il/report/2020/154