  We propose a distributed version of a stochastic approximation scheme
constrained to remain in the intersection of a finite family of convex sets.
The projection to the intersection of these sets is also computed in a
distributed manner and a `nonlinear gossip' mechanism is employed to blend the
projection iterations with the stochastic approximation using multiple time
scales
