Optimal error resilience of adaptive message exchange
Klim Efremenko, Gillat Kol, Raghuvansh R. Saxena
Abstract
We study the error resilience of the message exchange task: Two parties, each holding a private input, want to exchange their inputs. However, the channel connecting them is governed by an adversary that may corrupt a constant fraction of the transmissions. What is the maximum fraction of corruptions that still allows the parties to exchange their inputs?
For the non-adaptive channel, where the parties must agree in advance on the order in which they communicate, the maximum error resilience was shown to be 1 4 (see [BR11], STOC 2011). The problem was also studied over the adaptive channel, where the order in which the parties communicate may not be predetermined ([GHS14], STOC 2014; [EKS20], STOC 2020). These works show that the adaptive channel admits much richer set of protocols but leave open the question of finding its maximum error resilience.
In this work, we show that the maximum error resilience of a protocol for message exchange over the adaptive channel is 5 16 , thereby settling the above question. Our result requires improving both the known upper bounds and the known lower bounds for the problem.
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Install the CLIlune papers fulltext 8f5f9af2-95c8-49cc-b7c6-efd9d54b747bCited by top-tier papers3
- Binary Codes with Resilience Beyond 1/4 via InteractionKlim Efremenko, Gillat Kol, Raghuvansh R. Saxena, Zhijun ZhangFOCS 2022 · 3 citations
- Tight Bounds for General Computation in Noisy Broadcast NetworksKlim Efremenko, Gillat Kol, Dmitry Paramonov, Raghuvansh R. SaxenaFOCS 2021 · 3 citations
- Constant Rate Codes for Adaptive Broadcasts Do Not ExistKlim Efremenko, Gillat Kol, Dmitry Paramonov, Raghuvansh R. SaxenaFOCS 2025
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