State of the art models can take over a month to train. Ideally you'd have a way to cull out information related to a given input without dramatically altering

State of the art models can take over a month to train. Ideally you'd have a way to cull out information related to a given input without dramatically altering the model (for example, whenever one of your million users asks to be removed). It'd be very interesting to see how this would be possible. Maybe analyze which nodes contribute the most to an output for that sensitive data? But even then, how do you change them without compromising the model?