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Communication Complexity, Streaming and Computational Assumptions

name:Moni Naor
links:none on file
slides:none on file

Assuming polynomial-time adversaries, the work shows concrete reductions: a simultaneous-message equality protocol that beats the sqrt(n) bound implies a distributional collision-resistant hash functions family that compresses n to λ so communication drops to about sqrt(λ) (interactive log n → log λ similarly); conversely CRH yield succinct protocols. In a stateful free-talk model a c-bit protocol with error ~2^{-0.7c} converts into a secret-key agreement (via sampling multisets and Holenstein-style amplification); results need rushing/patient adversary models and currently only reach up to c ≈ log log n.

AI-written summary · about

  1. 0:00Introduction and scope
  2. 3:36Communication complexity
  3. 11:08Simultaneous message model
  4. 15:24Preset randomness model
  5. 22:02Hardness assumptions
  6. 27:35Constructing hash functions
  7. 35:15Characterizing multi-sets
  8. 44:29Stateful free talk model
  9. 52:30Protocol conversion
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