An algorithm is developed for the design of a nonlinear, n-sensor, dis
tributed estimation system subject to communication and computation co
nstraints. The algorithm uses only bivariate probability distributions
and yields locally optimal estimators that satisfy the required syste
m constraints. It is shown that the algorithm is a generalization of t
he classical Lloyd-Max results.