most citedPrivacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

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cs.LG2023

Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption

Moran Baruch, Nir Drucker, Gilad Ezov +5

Training large-scale CNNs that during inference can be run under Homomorphic Encryption (HE) is challenging due to the need to use only polynomial operations. This limits HE-based…