This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".
Thanks much for this work, I've been thinking of doing a similar study myself. However, I couldn't make FFA work with CNNs, which was also highlighted by Hinton. For example, did you actually make FFA work with RESNET for CIFAR10 classification? or did you only study the memory/time comparisons and ignored the accuracy?
Looking forward to your answer!
Once again, thank you for making this public!