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Maximum Knowledge Orthogonality Reconstruction with Gradients in
  Federated Learning

Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning

30 October 2023
Feng Wang
Senem Velipasalar
M. C. Gursoy
ArXivPDFHTML

Papers citing "Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning"

3 / 3 papers shown
Title
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Francesco Diana
André Nusser
Chuan Xu
Giovanni Neglia
22
0
0
15 May 2025
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
79
92
0
01 Feb 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
69
181
0
06 Dec 2021
1