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Privacy-Preserving Object Detection & Localization Using Distributed
  Machine Learning: A Case Study of Infant Eyeblink Conditioning

Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

14 October 2020
Stefan Zwaard
H. Boele
H. Alers
Christos Strydis
C. Lew‐Williams
Zaid Al-Ars
    FedML
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning"

1 / 1 papers shown
Title
Fidel: Reconstructing Private Training Samples from Weight Updates in
  Federated Learning
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
David Enthoven
Zaid Al-Ars
FedML
109
15
0
01 Jan 2021
1