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Low-bandwidth recovery of linear functions of Reed-Solomon-encoded data

Talkat ITCS 2022 · 2022-01-31..02-03· [databases]
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Shows a concrete scheme for Reed–Solomon codes that computes any linear function λ·f by downloading only o(b) bits, specifically Θ(b / log b) bits when using all n = q^t evaluation points of the extension field F_{q^t}. Nodes return short base-field vectors via s×t matrices A_j and the user combines them with t×s matrices R_j to recover λ·f; s is constant for fixed rate. Works despite up to about 1−r fraction of missing nodes and matches a linear-scheme lower bound of order b / log b for MDS codes.

AI-written summary · about

  1. 0:00Intro
  2. 0:16Overview
  3. 2:22Distributed Storage with an Error-Correcting Code
  4. 5:44Our Result - Intuition
  5. 8:37Our Result - Theorem Statement
  6. 9:51Our Result - Theorem Details Our there is more general
  7. 13:39Extension Field Elements as Vectors and Matrices
  8. 15:23Subfield-Linear Recovery Schemes for Linear Codes
  9. 21:38Construction for Reed-Solomon Codes
  10. 22:46Future Work
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