We consider parameter estimation in decentralized systems with distrib
uted processors. We restrict the local processors to be quantizers and
consider the optimal design of the systems to minimize the estimation
error. We present necessary conditions for the optimal system based o
n the Bayes distortion functions and Fisher's information. The numeric
al results compare the resulting quantizers obtained by different dist
ortion criteria.