Privacy-preserving Decentralized Deep Learning with Multiparty
Homomorphic Encryption

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption

11 July 2022

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Papers citing "Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption"

17 / 17 papers shown

Title
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 62 49 0 05 May 2021
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 132 316 0 13 Oct 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 35 156 0 01 Sep 2020
PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi FedML 58 54 0 04 Aug 2020
Auditing Differentially Private Machine Learning: How Private is Private SGD? Matthew Jagielski Jonathan R. Ullman Alina Oprea FedML 78 250 0 13 Jun 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 82 70 0 19 May 2020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning A. Patra Ajith Suresh 65 200 0 18 May 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 147 244 0 16 Sep 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 124 108 0 12 Sep 2019
Decentralized Deep Learning with Arbitrary Communication Compression Anastasia Koloskova Tao R. Lin Sebastian U. Stich Martin Jaggi FedML 74 235 0 22 Jul 2019
Helen: Maliciously Secure Coopetitive Learning for Linear Models Wenting Zheng Raluca A. Popa Joseph E. Gonzalez Ion Stoica FedML 79 144 0 16 Jul 2019
Differentially Private Model Publishing for Deep Learning Lei Yu Ling Liu C. Pu Mehmet Emre Gursoy Stacey Truex FedML 105 268 0 03 Apr 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 74 282 0 19 Feb 2019
Graphical-model based estimation and inference for differential privacy Ryan McKenna Daniel Sheldon G. Miklau 67 144 0 26 Jan 2019
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 79 894 0 16 Jan 2018
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 68 1,235 0 25 May 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 139 1,413 0 24 Feb 2017