There is a meaningful distinction. They only use backprop one layer at a time, requiring additional space proportional to that layer. Full backprop requires additional space proportional to the whole network.

It's also a bit interesting as an experimental result, since the core idea didn't require backprop. Being an implementation detail, you could theoretically swap in other layer types or solvers.