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A Hybrid Approach to Privacy-Preserving Federated Learning

A Hybrid Approach to Privacy-Preserving Federated Learning

7 December 2018
Stacey Truex
Nathalie Baracaldo
Ali Anwar
Thomas Steinke
Heiko Ludwig
Rui Zhang
Yi Zhou
    FedML
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Papers citing "A Hybrid Approach to Privacy-Preserving Federated Learning"

15 / 115 papers shown
Title
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
David B. Blumenthal
T. Kacprowski
M. List
...
Harald H. H. W. Schmidt
A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
26
60
0
22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
48
83
0
22 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
131
157
0
22 Jul 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
29
24
0
10 Jul 2020
Topology-aware Differential Privacy for Decentralized Image
  Classification
Topology-aware Differential Privacy for Decentralized Image Classification
Shangwei Guo
Tianwei Zhang
Guowen Xu
Hanzhou Yu
Tao Xiang
Yang Liu
27
18
0
14 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data
  Privacy
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
Sicong Liu
Junzhao Du
Anshumali Shrivastava
Lin Zhong
48
14
0
08 Jun 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
75
25
0
27 Apr 2020
Local Differential Privacy based Federated Learning for Internet of
  Things
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao
Jun Zhao
Mengmeng Yang
Teng Wang
Ning Wang
Lingjuan Lyu
Dusit Niyato
Kwok-Yan Lam
25
292
0
19 Apr 2020
User-Level Privacy-Preserving Federated Learning: Analysis and
  Performance Optimization
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Hang Su
Bo-Wen Zhang
H. Vincent Poor
FedML
25
11
0
29 Feb 2020
Anonymizing Data for Privacy-Preserving Federated Learning
Anonymizing Data for Privacy-Preserving Federated Learning
Olivia Choudhury
A. Gkoulalas-Divanis
Theodoros Salonidis
I. Sylla
Yoonyoung Park
Grace Hsu
Amar K. Das
FedML
30
42
0
21 Feb 2020
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated
  Learning
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
Heiko Ludwig
FedML
21
287
0
12 Dec 2019
Towards Federated Graph Learning for Collaborative Financial Crimes
  Detection
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Toyotaro Suzumura
Yi Zhou
Natahalie Barcardo
Guangann Ye
Keith Houck
...
Yuji Watanabe
Pablo S. Loyola
Daniel Klyashtorny
Heiko Ludwig
Kumar Bhaskaran
FedML
33
70
0
19 Sep 2019
Differentially Private Meta-Learning
Differentially Private Meta-Learning
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
35
106
0
12 Sep 2019
A Federated Learning Approach for Mobile Packet Classification
A Federated Learning Approach for Mobile Packet Classification
Evita Bakopoulou
Bálint Tillman
A. Markopoulou
21
30
0
30 Jul 2019
Privacy-Preserving Classification with Secret Vector Machines
Privacy-Preserving Classification with Secret Vector Machines
Valentin Hartmann
Konark Modi
J. M. Pujol
Robert West
23
14
0
08 Jul 2019
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