This paper shows how Cellular Neural Networks (CNN) can be harnessed into solving partial differential problems through an adaptation of the Least Squares Finite Elements Method. As CNNs can be implemented on distributed parallel architectures, this method allows the distribution of a resource demanding differential problem over a computer network.