  We revisit the classical model of Tsitsiklis, Bertsekas and Athans for
distributed stochastic approximation with consensus. The main result is an
analysis of this scheme using the ODE approach to stochastic approximation,
leading to a high probability bound for the tracking error between suitably
interpolated iterates and the limiting differential equation. Several future
directions will also be highlighted.
