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Privacy-preserving Distributed Machine Learning via Local Randomization
  and ADMM Perturbation
v1v2 (latest)

Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation

30 July 2019
Xin Wang
H. Ishii
L. Du
Peng Cheng
Jiming Chen
    FedML
ArXiv (abs)PDFHTML

Papers citing "Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation"

12 / 12 papers shown
Title
SoK: Dataset Copyright Auditing in Machine Learning Systems
SoK: Dataset Copyright Auditing in Machine Learning Systems
L. Du
Xuanru Zhou
M. Chen
Chusong Zhang
Zhou Su
Peng Cheng
Jiming Chen
Zhikun Zhang
MLAU
117
6
0
22 Oct 2024
Distributed Continual Learning with CoCoA in High-dimensional Linear
  Regression
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
OOD
83
1
0
04 Dec 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless
  Setups
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups
Ioannis Arapakis
P. Papadopoulos
Kleomenis Katevas
Diego Perino
57
8
0
26 Feb 2023
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under
  Non-IID Data
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang
Yanhan Wang
Xin Wang
Zhenyong Zhang
Xiaoming Wu
Peng Cheng
FedML
70
1
0
17 Nov 2022
Exact Penalty Method for Federated Learning
Exact Penalty Method for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
72
1
0
23 Aug 2022
Federated Stochastic Primal-dual Learning with Differential Privacy
Federated Stochastic Primal-dual Learning with Differential Privacy
Yiwei Li
Shuai Wang
Tsung-Hui Chang
Chong-Yung Chi
FedML
50
9
0
26 Apr 2022
Differential Private Discrete Noise Adding Mechanism: Conditions,
  Properties and Optimization
Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization
Shuying Qin
Jianping He
Chongrong Fang
J. Lam
43
6
0
19 Mar 2022
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local
  Differential Privacy
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L. Du
Zhikun Zhang
Shaojie Bai
Changchang Liu
S. Ji
Peng Cheng
Jiming Chen
142
38
0
14 Oct 2021
Linear Regression with Distributed Learning: A Generalization Error
  Perspective
Linear Regression with Distributed Learning: A Generalization Error Perspective
Martin Hellkvist
Ayça Özçelikkale
Anders Ahlén
FedML
31
10
0
22 Jan 2021
Differentially Private ADMM Algorithms for Machine Learning
Differentially Private ADMM Algorithms for Machine Learning
Tao Xu
Fanhua Shang
Yuanyuan Liu
Hongying Liu
Longjie Shen
Maoguo Gong
91
18
0
31 Oct 2020
Dynamic Quantized Consensus of General Linear Multi-agent Systems under
  Denial-of-Service Attacks
Dynamic Quantized Consensus of General Linear Multi-agent Systems under Denial-of-Service Attacks
Shuai Feng
H. Ishii
37
47
0
28 Apr 2020
Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a
  Decentralised, Encrypted Artificial Intelligence
Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence
David Cerezo Sánchez
21
3
0
16 Sep 2019
1