Abstract: Structured pruning and quantization are fundamental techniques used to reduce the size of deep neural networks (DNNs), and typically are applied independently. Applying these techniques ...
In packet erasure networks, federated learning (FL) typically suffers more prohibitive communication overhead from massive retransmissions of high-dimensional gradients. As a result, recent studies ...
Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...