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Federated Learning for Healthcare Domain - Pipeline, Applications and
  Challenges

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

15 November 2022
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
    OOD
    AI4CE
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges"

5 / 55 papers shown
Title
Towards the Science of Security and Privacy in Machine Learning
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot
Patrick McDaniel
Arunesh Sinha
Michael P. Wellman
AAML
81
474
0
11 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
270
14,927
1
21 Dec 2013
Near-Optimal Algorithms for Differentially-Private Principal Components
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri
Anand D. Sarwate
Kaushik Sinha
82
157
0
12 Jul 2012
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
112
1,590
0
27 Jun 2012
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