Propose an architectural change to your current convolutional layer design to accommodate the business requirement of unshared weights for each region of interest. Explain the tradeoff between this approach and standard convolutional layers.

Replace standard convolutional layers with locally connected layers, which use unshared weights for each spatial location. This allows each region of interest to have its own unique set of feature detectors without parameter sharing at the cost of increased memory usage and model complexity.