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Abstract

We give a distributed randomized algorithm to edge color a network. Given a graph $G$ with $n$ nodes and maximum degree $\Delta$, the algorithm, \begin{itemize} \item For any fixed $\lambda >0$, colours $G$ with $(1+ \lambda) \Delta$ colours in time $O(\log n)$. \item For any fixed positive integer $s$, colours $G$ with $\Delta + \frac {\Delta} {(\log \Delta)^s}=(1 + o(1)) \Delta $ colours in time $O (\log n + \log ^{2s} \Delta \log \log \Delta $. \end{itemize} Both results hold with probability arbitrarily close to 1 as long as $\Delta (G) = \Omega (\log^{1+d} n)$, for some $d>0$.\\ The algorithm is based on the R"odl Nibble, a probabilistic strategy introduced by Vojtech R"odl. The analysis involves a certain pseudo--random phenomenon involving sets at the vertices