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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Bibliographic Details
Main Authors PAL, Subhankar, BUYUKTOSUNOGLU, Alper, VACULIN, Roman, AHARONI, Ehud, SOCEANU, Omri, SARPATWAR, Kanthi, DRUCKER, Nir, SHAUL, Hayim, BARUCH, Moran, BOSE, Pradip
Format Patent
LanguageEnglish
Published 11.01.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary: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.
Bibliography:Application Number: US202217857593