The novel approach to making systems forget data is called “machine unlearning” by the two researchers who are pioneering the concept. Instead of making a model directly depend on each training data sample (left), they convert the learning algorithm into a summation form (right) – a process that is much easier and faster than retraining the system from scratch.
- See! “Summation” first, then details!!!!! What they are really doing is putting things in a fractal structure.
- And they are understanding that many aspects of “old” data have little value.