This note focuses on the convergence problem of a distributed recursive least squares (RLS) estimator, which converges fast in many circumstances. We find that the convergence behavior of this distributed RLS is quite different for the scalar-parameter and high-dimensional-parameter cases.

中文翻译：

---

关于分布式RLS收敛性的注记


本文重点讨论分布式递归最小二乘 (RLS) 估计器的收敛问题，该估计器在许多情况下收敛速度很快。我们发现这种分布式 RLS 的收敛行为对于标量参数和高维参数情况有很大不同。