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COVID-19 Imaging Data Privacy by Federated Learning Design: A
  Theoretical Framework

COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework

13 October 2020
Anwaar Ulhaq
O. Burmeister
    FedML
ArXivPDFHTML

Papers citing "COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework"

3 / 3 papers shown
Title
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
43
91
0
05 Aug 2022
One-Shot Federated Learning with Neuromorphic Processors
One-Shot Federated Learning with Neuromorphic Processors
Kenneth Stewart
Yanqi Gu
FedML
11
2
0
01 Nov 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
182
1,032
0
29 Nov 2018
1