- Article
Prunability of Multi-Layer Perceptrons Trained with the Forward-Forward Algorithm
- Mitko Nikov,
- Damjan Strnad and
- David Podgorelec
We explore the sparsity and prunability of multi-layer perceptrons (MLPs) trained using the Forward-Forward (FF) algorithm, an alternative to backpropagation (BP) that replaces the backward pass with local, contrastive updates at each layer. We analy...

