PACKING MACHINE LEARNING MODELS USING PRUNING AND PERMUTATION
Abstract:
An example system includes a processor to prune a machine learning model based on an importance of neurons or weights. The processor is to further permute and pack remaining neurons or weights of the pruned machine learning model to reduce an amount of ciphertext computation under a selected constraint.
Information query
Patent Agency Ranking
0/0