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2007.11621
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Privacy-preserving Artificial Intelligence Techniques in Biomedicine
22 July 2020
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
David B. Blumenthal
T. Kacprowski
M. List
Julian O. Matschinske
Julian Spath
N. K. Wenke
Béla Bihari
Tobias Frisch
Anne Hartebrodt
Anne-Christin Hauschild
D. Heider
Andreas Holzinger
Walter Hötzendorfer
Markus Kastelitz
Rudolf Mayer
Cristian Nogales
Anastasia Pustozerova
Richard Rottger
Harald H. H. W. Schmidt
A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
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Papers citing
"Privacy-preserving Artificial Intelligence Techniques in Biomedicine"
6 / 6 papers shown
Multimodal Cancer Modeling in the Age of Foundation Model Embeddings
Steven Song
Morgan Borjigin-Wang
Irene Madejski
Robert L. Grossman
383
0
0
12 May 2025
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective
A. J. Mahamadou
Aloysius Ochasi
Russ B. Altman
200
6
0
14 Jun 2024
Control Risk for Potential Misuse of Artificial Intelligence in Science
Jiyan He
Weitao Feng
Yaosen Min
Jingwei Yi
Kunsheng Tang
...
Wenbo Zhou
Xing Xie
Weiming Zhang
Neng H. Yu
Shuxin Zheng
232
18
0
11 Dec 2023
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
Reza Nasirigerdeh
Reihaneh Torkzadehmahani
Julian O. Matschinske
Jan Baumbach
Daniel Rueckert
Georgios Kaissis
FedML
257
13
0
21 May 2021
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
Reza Nasirigerdeh
Mohammad Bakhtiari
Reihaneh Torkzadehmahani
Amirhossein Bayat
M. List
David B. Blumenthal
Jan Baumbach
FedML
239
9
0
13 Nov 2020
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
R. SantiagoS.Silva
B. Gutman
E. Romero
P. Thompson
Andre Altmann
Marco Lorenzi
FedML
381
199
0
19 Oct 2018
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