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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
    AAMLFedML
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
Marziyeh Mohammadi
Mohsen Vejdanihemmat
Mahshad Lotfinia
M. Rusu
Daniel Truhn
Andreas K. Maier
Soroosh Tayebi Arasteh
335
1
0
31 May 2025
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
456
2
0
24 Feb 2025
1
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