Sublogarithmic awake complexity with polynomially many rounds

Determine whether an $O(\log \Delta)$-approximation for Minimum Dominating Set can be achieved with $o(\log \Delta)$ awake complexity when polynomially many synchronous rounds are permitted in the sleeping distributed model.

Background

The algorithms in the paper do not establish a tradeoff in which increasing the total round complexity permits a lower awake complexity. The unresolved question concerns whether the O(logΔ)O(\log \Delta) approximation guarantee can coexist with sublogarithmic awake complexity even when the algorithm is allowed polynomially many rounds, rather than being restricted to the paper's near-O(log2Δ)O(\log^2\Delta) round bounds.

References

It is also natural to ask whether allowing a larger round complexity can lead to lower awake complexity. Our current techniques do not give such a tradeoff, and we do not know whether an $O(\log\Delta)$-approximation with $o(\log\Delta)$ awake complexity can be obtained even if polynomially many rounds are allowed.

Approximating Minimum Dominating Set with Few Awake Rounds  (2608.19096 - Ji et al., 19 Aug 2026) in Section 6, Conclusions