4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals
Luca Colombo, Fabrizio Pittorino, Manuel Roveri
Binary Neural Networks (BNNs) significantly reduce computational complexity and memory usage in machine and deep learning by representing weights and activations with just one bit.…
cs.LG2024★ 4 cited
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
Luca Colombo, Alessandro Falcetta, Manuel Roveri
Training machine and deep learning models directly on extremely resource-constrained devices is the next challenge in the field of tiny machine learning. The related literature in…