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QBI: Quantile-based Bias Initialization for Efficient Private Data
  Reconstruction in Federated Learning

QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning

26 June 2024
Micha V. Nowak
Tim P. Bott
David Khachaturov
Frank Puppe
Adrian Krenzer
Amar Hekalo
    FedML
ArXivPDFHTML

Papers citing "QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning"

3 / 3 papers shown
Title
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
89
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
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
110
118
0
09 Feb 2021
1