PACKING MACHINE LEARNING MODELS USING PRUNING AND PERMUTATION
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 constra...
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Format | Patent |
Language | English French |
Published |
11.01.2024
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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.
Un système donné à titre d'exemple comprend un processeur conçu pour élaguer un modèle d'apprentissage automatique sur la base d'une importance de neurones ou de poids. Le processeur est conçu en outre pour permuter et conditionner des neurones ou des poids restants du modèle d'apprentissage automatique élagué, afin de réduire une quantité de calcul de texte chiffré selon une contrainte sélectionnée. |
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AbstractList | 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.
Un système donné à titre d'exemple comprend un processeur conçu pour élaguer un modèle d'apprentissage automatique sur la base d'une importance de neurones ou de poids. Le processeur est conçu en outre pour permuter et conditionner des neurones ou des poids restants du modèle d'apprentissage automatique élagué, afin de réduire une quantité de calcul de texte chiffré selon une contrainte sélectionnée. |
Author | VACULIN, Roman BARUCH, Moran PAL, Subhankar AHARONI, Ehud SARPATWAR, Kanthi SHAUL, Hayim BUYUKTOSUNOGLU, Alper DRUCKER, Nir BOSE, Pradip SOCEANU, Omri |
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DocumentTitleAlternate | CONDITIONNEMENT DE MODÈLES D'APPRENTISSAGE AUTOMATIQUE VIA UN ÉLAGAGE ET UNE PERMUTATION |
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Snippet | 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... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
Title | PACKING MACHINE LEARNING MODELS USING PRUNING AND PERMUTATION |
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