Scalable Privacy-Preserving Distributed Learning

Scalable Privacy-Preserving Distributed Learning

19 May 2020

J. Troncoso-Pastoriza

Apostolos Pyrgelis

João Sá Sousa

Jean-Philippe Bossuat

Jean-Pierre Hubaux

Papers citing "Scalable Privacy-Preserving Distributed Learning"

9 / 9 papers shown

Title
Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity Yijia Chang Songze Li 31 0 0 20 Jan 2025
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud Computing Xirong Ma Chuan Li Yuchang Hu Yunting Tao Yali Jiang Yanbin Li Fanyu Kong Chunpeng Ge 48 0 0 28 Jun 2024
Scalable and Privacy-Preserving Federated Principal Component Analysis D. Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis J. Troncoso-Pastoriza Bonnie Berger Jean-Pierre Hubaux FedML 13 15 0 31 Mar 2023
Local Graph-homomorphic Processing for Privatized Distributed Systems Elsa Rizk Stefan Vlaski A. H. Sayed FedML 24 1 0 26 Oct 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
Privacy-Preserving Distributed Machine Learning Made Faster Z. L. Jiang Jiajing Gu Hongxiao Wang Yulin Wu Jun-bin Fang S. Yiu Wenjian Luo Xuan Wang FedML 11 3 0 12 May 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 18 9 0 19 Dec 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 15 147 0 04 Dec 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 11 153 0 01 Sep 2020