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Enhancing Privacy against Inversion Attacks in Federated Learning by
  using Mixing Gradients Strategies

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies

26 April 2022
Shaltiel Eloul
Fran Silavong
Sanket Kamthe
Antonios Georgiadis
Sean J. Moran
    FedML
ArXivPDFHTML

Papers citing "Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies"

2 / 2 papers shown
Title
Privacy-preserving quantum federated learning via gradient hiding
Privacy-preserving quantum federated learning via gradient hiding
Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
FedML
15
19
0
07 Dec 2023
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
1