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arXiv:2611.11370 · v1

A Simple Phase-King Protocol with Predictions

首次提交 2026-11-08 21:28
版本更新 2026-11-08 21:28
雷达观测 2026-11-10 12:16
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摘要

Inspired by recent work (Ben-David, Dzulfikar, Ellen, and Gilbert, Byzantine Agreement with Predictions\textit{Byzantine Agreement with Predictions}, PODC 2025) we study synchronous binary Byzantine Agreement in the learning-augmented setting, where each process receives predictions about which processes are honest or Byzantine. We present a deterministic Phase King protocol for the anauthenticated setting, combining early stopping with a specifically designed prediction-aware king selection procedure. For at most t<n/3t<n/3 Byzantine processes, the protocol handles arbitrarily many prediction errors, improving upon the O(n3/2)O(n^{3/2}) bound of Ben-David et al., and terminates within O(P)O(P) communication rounds, where P=1+min⁡{B/n,f}P=1+\min\{\mathbf{B}/n,f\}, B\mathbf{B} is the total number of incorrect prediction bits held by honest processes, and ff is the actual number of Byzantine processes. Our protocol uses O(n2P)O(n^2P) messages and O(n2Plog⁡n)O(n^2P\log n) bits, avoiding the initial cubic bit cost of exchanging complete prediction vectors. In comparison to very recent independent work (Dufay, Dzulfikar, and Gilbert, Predictions Can Only Help! Communication Efficient Byzantine Agreement with Predictions\textit{Predictions Can Only Help! Communication Efficient Byzantine Agreement with Predictions}, DISC 2026), which achieves the same error tolerance and round complexity but better communication bounds, our construction provides a much simpler Phase King approach that completely avoids involved preprocessing constructions, rendering it more practical, especially for achieving agreement in time-evolving networks. We believe that the novel prediction-aware king selection technique of our scheme is of independent interest and can find further applications in learning-augmented distributed consensus.

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v1 · 2026-11-08 21:28 · 最新观测版本

A Simple Phase-King Protocol with Predictions

Inspired by recent work (Ben-David, Dzulfikar, Ellen, and Gilbert, Byzantine Agreement with Predictions\textit{Byzantine Agreement with Predictions}, PODC 2025) we study synchronous binary Byzantine Agreement in the learning-augmented setting, where each process receives predictions about which processes are honest or Byzantine. We present a deterministic Phase King protocol for the anauthenticated setting, combining early stopping with a specifically designed prediction-aware king selection procedure. For at most t<n/3t<n/3 Byzantine processes, the protocol handles arbitrarily many prediction errors, improving upon the O(n3/2)O(n^{3/2}) bound of Ben-David et al., and terminates within O(P)O(P) communication rounds, where P=1+min⁡{B/n,f}P=1+\min\{\mathbf{B}/n,f\}, B\mathbf{B} is the total number of incorrect prediction bits held by honest processes, and ff is the actual number of Byzantine processes. Our protocol uses O(n2P)O(n^2P) messages and O(n2Plog⁡n)O(n^2P\log n) bits, avoiding the initial cubic bit cost of exchanging complete prediction vectors. In comparison to very recent independent work (Dufay, Dzulfikar, and Gilbert, Predictions Can Only Help! Communication Efficient Byzantine Agreement with Predictions\textit{Predictions Can Only Help! Communication Efficient Byzantine Agreement with Predictions}, DISC 2026), which achieves the same error tolerance and round complexity but better communication bounds, our construction provides a much simpler Phase King approach that completely avoids involved preprocessing constructions, rendering it more practical, especially for achieving agreement in time-evolving networks. We believe that the novel prediction-aware king selection technique of our scheme is of independent interest and can find further applications in learning-augmented distributed consensus.

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