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Differentially Private Bayesian Learning on Distributed Data

Differentially Private Bayesian Learning on Distributed Data

3 March 2017
Mikko A. Heikkilä
Eemil Lagerspetz
Samuel Kaski
Kana Shimizu
Sasu Tarkoma
Antti Honkela
    FedML
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Papers citing "Differentially Private Bayesian Learning on Distributed Data"

13 / 13 papers shown
Title
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
Haochen Sun
Xi He
41
0
0
30 Apr 2025
Differentially Private Distributed Bayesian Linear Regression with MCMC
Differentially Private Distributed Bayesian Linear Regression with MCMC
Barics Alparslan
S. Yıldırım
cS. .Ilker Birbil
FedML
25
1
0
31 Jan 2023
Decentralized Collaborative Learning with Probabilistic Data Protection
Decentralized Collaborative Learning with Probabilistic Data Protection
T. Idé
Raymond H. Putra
FedML
22
2
0
23 Aug 2022
One Parameter Defense -- Defending against Data Inference Attacks via
  Differential Privacy
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
Dayong Ye
Sheng Shen
Tianqing Zhu
B. Liu
Wanlei Zhou
MIACV
16
61
0
13 Mar 2022
Provably Private Distributed Averaging Consensus: An
  Information-Theoretic Approach
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
FedML
27
2
0
18 Feb 2022
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
19
71
0
04 Jul 2021
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
34
125
0
05 Aug 2020
Differentially private cross-silo federated learning
Differentially private cross-silo federated learning
Mikko A. Heikkilä
A. Koskela
Kana Shimizu
Samuel Kaski
Antti Honkela
FedML
21
24
0
10 Jul 2020
Towards practical differentially private causal graph discovery
Towards practical differentially private causal graph discovery
Lun Wang
Qi Pang
D. Song
21
13
0
15 Jun 2020
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Jun Zhao
Teng Wang
Tao Bai
Kwok-Yan Lam
Zhiying Xu
Shuyu Shi
Xuebin Ren
Xinyu Yang
Yang Liu
Han Yu
30
30
0
27 Nov 2019
Improved Differentially Private Decentralized Source Separation for fMRI
  Data
Improved Differentially Private Decentralized Source Separation for fMRI Data
H. Imtiaz
Jafar Mohammadi
Rogers F. Silva
Bradley T. Baker
Sergey Plis
Anand D. Sarwate
Vince D. Calhoun
OOD
18
5
0
28 Oct 2019
Privacy-Preserving Classification with Secret Vector Machines
Privacy-Preserving Classification with Secret Vector Machines
Valentin Hartmann
Konark Modi
J. M. Pujol
Robert West
13
14
0
08 Jul 2019
Differentially Private Gaussian Processes
Differentially Private Gaussian Processes
M. Smith
Max Zwiessele
Neil D. Lawrence
13
15
0
02 Jun 2016
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