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Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption
May 8, 2024, 4:10 a.m. | Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti
cs.CR updates on arXiv.org arxiv.org
Abstract: We propose a secure inference protocol for a distributed setting involving a single server node and multiple client nodes. We assume that the observed data vector is partitioned across multiple client nodes while the deep learning model is located at the server node. Each client node is required to encrypt its portion of the data vector and transmit the resulting ciphertext to the server node. The server node is required to collect the ciphertexts and …
arxiv client cs.cr data deep learning distributed encryption homomorphic encryption node nodes protocol server single
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