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Electronic Colloquium on Computational Complexity

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TR24-112 | 3rd July 2024
Klim Efremenko, Gillat Kol, Dmitry Paramonov, Raghuvansh Saxena

The Rate of Interactive Codes is Bounded Away from 1

Kol and Raz [STOC 2013] showed how to simulate any alternating two-party communication protocol designed to work over the noiseless channel, by a protocol that works over a stochastic channel that corrupts each sent symbol with probability $\epsilon>0$ independently, with only a $1+\mathcal{O}(\sqrt{\H(\epsilon)})$ blowup to the communication. In particular, this ... more >>>


TR24-111 | 1st July 2024
Siddharth Iyer, Anup Rao

An XOR Lemma for Deterministic Communication Complexity

We prove a lower bound on the communication complexity of computing the $n$-fold xor of an arbitrary function $f$, in terms of the communication complexity and rank of $f$. We prove that $D(f^{\oplus n}) \geq n \cdot \Big(\frac{\Omega(D(f))}{\log rk(f)} -\log rk(f)\Big )$, where here $D(f), D(f^{\oplus n})$ represent the ... more >>>


TR24-110 | 1st July 2024
Joshua Cook, Dana Moshkovitz

Time and Space Efficient Deterministic Decoders

Revisions: 1

Time efficient decoding algorithms for error correcting codes often require linear space. However, locally decodable codes yield more efficient randomized decoders that run in time $n^{1+o(1)}$ and space $n^{o(1)}$. In this work we focus on deterministic decoding.
Gronemeier showed that any non-adaptive deterministic decoder for a good code running ... more >>>



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