23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

Pruning is a widely used method for compressing Deep Neural Networks (DNNs), where less relevant parameters are removed from a DNN model to reduce its size. However, removing parameters reduces model ...

23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

The deployment of deep neural networks (DNNs) in privacy-sensitive environments is constrained by computational overheads in fully homomorphic encryption (FHE). This paper explores unstructured sparsi...

The 5th Workshop on Machine Learning and Systems (EuroMLSys)