Research & Papers

Researchers crack distributed graph coloring with new algorithm

New algorithm solves graph coloring in O(log n) rounds without network diameter dependency

Deep Dive

Amit Nir and David Peleg introduced two randomized proper-coloring algorithms for the synchronous CONGEST model that control color frequencies without a diameter-dependent coordination cost. For any fixed δ > 0, the first algorithm uses χ = ⌈(2+δ)Δ⌉ colors and, with probability at least 1 − n^(−λ), bounds every color frequency’s deviation from n/χ by O_δ(√((λ+1)(n/χ) log n) + (λ+1) log n); under an explicit load condition, this yields two-sided relative balance. The second algorithm works for every χ > Δ

Key Points
  • Two randomized graph coloring algorithms eliminate diameter-dependent coordination costs in distributed networks
  • First algorithm uses (2+δ)Δ colors with O(√n lg n) frequency deviation guarantee
  • Both algorithms achieve O((λ+1) lg n) round complexity, removing network diameter dependency

Why It Matters

Enables scalable graph algorithms in large distributed systems where network diameter is unpredictable or large

📬 Get the top 10 AI stories daily