Binary Error-Correcting Codes with Minimal Noiseless Feedback
Meghal Gupta, Venkatesan Guruswami, Rachel Yun Zhang
Abstract
i 1. How many bits of feedback must Bob send? 2. How many times throughout the protocol must Bob send feedback?
How many bits of feedback? This first question was studied by [HKV15] in the case of errors. In their work, they considered limiting Bob's feedback to δ fraction of Alice's bits. They showed that for randomized protocols, Bob sending any δ > 0 fraction as many bits as Alice is sufficient to achieve the threshold 1 3 error resilience. For deterministic protocols, they showed that if δ > 2 3 is a sufficiently large fraction, 1 3 is achievable, and as δ → 0, the best error resilience they achieve is 1 4 . In this work, we consider an even more limited form of feedback: we allow Bob to send only d total bits rather than δ fraction of Alice's bits, where d does not scale proportionally to the number of bits Alice sends (which necessarily must be more than k bits) or even to k. In particular, we ask if we can achieve error resilience 1 3 with o(k) bits of feedback. Perhaps surprisingly, we show the answer is yes! Specifically, we construct a protocol that uses only O(log k) bits of feedback to achieve 1 3 error resilience. We also construct a protocol achieving 1 erasure resilience with O(log k) bits of feedback. We complement our results with a lower bound showing that Ω(log k) bits of feedback are necessary to even have > 1 4 error resilience or > 1 2 erasure resilience, thereby proving Θ(log k) bits of feedback is optimal.
How many rounds of feedback? The second question we address concerns the number of rounds of feedback necessary to achieve 1 3 error resilience. Previous works [Ber64, Mut94, HKV15, SW92] all required
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 1335cf06-d837-41e3-9e0c-926cffb8b302Builds on3
- Binary Codes with Resilience Beyond 1/4 via InteractionKlim Efremenko, Gillat Kol, Raghuvansh R. Saxena, Zhijun ZhangFOCS 2022 · 3 citations
- The optimal error resilience of interactive communication over binary channelsMeghal Gupta, Rachel Yun ZhangSTOC 2022 · 2 citations
- Efficient Interactive Coding Achieving Optimal Error Resilience over the Binary ChannelMeghal Gupta, Rachel Yun ZhangSTOC 2023 · 1 citation
Related papers
- Interactive error resilience beyond 2/7Klim Efremenko, Gillat Kol, Raghuvansh R. SaxenaSTOC 2020 · 5 citations
- Asymptotically Optimal Early Termination for Dishonest Majority BroadcastGiovanni Deligios, Ivana Klasovita, Chen-Da Liu-ZhangEUROCRYPT 2025 · 1 citation
- Tight Bounds for General Computation in Noisy Broadcast NetworksKlim Efremenko, Gillat Kol, Dmitry Paramonov, Raghuvansh R. SaxenaFOCS 2021 · 3 citations
- Interactive error correcting codes over binary erasure channels resilient to > ½ adversarial corruptionMeghal Gupta, Yael Tauman Kalai, Rachel Yun ZhangSTOC 2022 · 3 citations
- Optimal error resilience of adaptive message exchangeKlim Efremenko, Gillat Kol, Raghuvansh R. SaxenaSTOC 2021 · 7 citations
