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We make progress in answering this question by describing a deterministic algorithm that obtains a $O\left( \alpha \log \Delta / \log\log \Delta \right)$ approximation without prior knowledge of $\alpha$ with optimal round complexity of $O\left( \log \Delta / \log\log \Delta \right)$ and optimal message size of $1$ bit per round.
Among all of the previous results, the only algorithm that achieves the optimal round complexity of $O\left( \log \Delta / \log\log \Delta \right)$ without prior knowledge of $\alpha$ is due to Lenzen and Wattenhofer [DISC'10] that obtains a $O(\alpha \log^{1+\varepsilon}\Delta / (\varepsilon\log\log \Delta))$ approximation in $O(\log\Delta/(\varepsilon\log\log\Delta))$ rounds and $O(\log(\varepsilon^{-1}\log\Delta))$ message size. Our algorithm simplifies and improves upon this result. The only downside of our algorithm compared to the algorithm of Lenzen and Wattenhofer is that it needs prior knowledge of $\Delta$.
The previous state-of-the-art algorithm by Dory, Ghaffari, and Ilchi [PODC'22] has a dependency on $\log n$ in the round complexity for unknown $\alpha$, which is far from optimal.
From: Ermiya Farokhnejad [view email]
[v1]
Sat, 13 Jun 2026 17:36:41 UTC (27 KB)
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