Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms

2 September 2020

Papers citing "Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms"

6 / 6 papers shown

Title
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization Hoang Bao Yijiang Pang Siqi Liang Liang Zhan Paul Thompson Jiayu Zhou FedML 43 1 0 23 May 2024
Topology-Dependent Privacy Bound For Decentralized Federated Learning Qiongxiu Li Wenrui Yu Changlong Ji Richard Heusdens 32 3 0 13 Dec 2023
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus Qiongxiu Li Jaron Skovsted Gundersen Milan Lopuhaä-Zwakenberg Richard Heusdens 23 11 0 13 Dec 2023
Investigation of Alternative Measures for Mutual Information Bulut Kuskonmaz Jaron Skovsted Gundersen R. Wisniewski 24 4 0 02 Feb 2022
Secure PAC Bayesian Regression via Real Shamir Secret Sharing Jaron Skovsted Gundersen Bulut Kuskonmaz R. Wisniewski 36 1 0 23 Sep 2021
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 33 122 0 04 Jun 2019