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Random Gradient Masking as a Defensive Measure to Deep Leakage in
  Federated Learning

Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning

15 August 2024
Joon Kim
Sejin Park
    AAML
    FedML
ArXivPDFHTML

Papers citing "Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning"

10 / 10 papers shown
Title
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
Zhihui Zhao
Xiaorong Dong
Yimo Ren
Jianhua Wang
Dan Yu
Hongsong Zhu
Yongle Chen
143
0
0
24 Feb 2025
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with
  Sparsification
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda
Saeed Mahloujifar
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
FedML
AAML
53
87
0
12 Dec 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution
  Environments
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo
Hamed Haddadi
Kleomenis Katevas
Eduard Marin
Diego Perino
N. Kourtellis
FedML
108
246
0
29 Apr 2021
Data Poisoning Attacks Against Federated Learning Systems
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
113
653
0
16 Jul 2020
Inverting Gradients -- How easy is it to break privacy in federated
  learning?
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping
Hartmut Bauermeister
Hannah Dröge
Michael Moeller
FedML
103
1,228
0
31 Mar 2020
Federated Learning with Differential Privacy: Algorithms and Performance
  Analysis
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
123
1,612
0
01 Nov 2019
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OOD
FedML
121
1,500
0
05 Mar 2018
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,646
0
18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
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