NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets

18 December 2020

Papers citing "NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets"

4 / 4 papers shown

Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Jing Chen Yangqiu Song Jin Dong Jianxin Li Philip S. Yu 71 1 0 27 Apr 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 41 10 0 10 Jan 2025
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng T. Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 26 0 0 22 Mar 2023
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021