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Inici > Enabling Homomorphically Encrypted Inference for Large DNN Models

Enabling Homomorphically Encrypted Inference for Large DNN Models

URL:  https://ieeexplore.ieee.org/document/9417740

Authors: Lloret-Talavera, Guillermo / Jorda, Marc / Servat, Harald / Boemer, Fabian / Chauhan, Chetan / Tomishima, Shigeki / Shah, Nilesh / Pena, Antonio

Research Lines: Data Placement for Heterogeneous Memory Systems

Publication: IEEE Transactions on Computers

Volume / Number / Pagination: 71 / 5 / 1145-1155

Paraules clau: Privacy-preserving machine learning, deep learning, homomorphic encryption

Barcelona Supercomputing Center - Centro Nacional de Supercomputación
Source URL (retrieved on 4 febr 2023 - 23:58): https://www.bsc.es/ca/research-and-development/publications/enabling-homomorphically-encrypted-inference-large-dnn-models