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Scaling Neuroscience Research using Federated Learning

Scaling Neuroscience Research using Federated Learning

16 February 2021
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
    FedML
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Papers citing "Scaling Neuroscience Research using Federated Learning"

11 / 11 papers shown
Title
Federated GNNs for EEG-Based Stroke Assessment
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani
Lorenzo Giusti
Albert Sund Aillet
Simona Sacco
Paolo Manganotti
...
Pierpaolo Brutti
Pietro Caliandro
Luigi Serio
Pietro Caliandro
Luigi Serio
FedML
29
0
0
04 Nov 2024
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A Survey
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedML
OOD
37
114
0
09 Jun 2023
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
20
2
0
15 May 2023
Federated attention consistent learning models for prostate cancer
  diagnosis and Gleason grading
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
Fei Kong
Xiyue Wang
Jin-Peng Xiang
Sen Yang
Xinran Wang
...
Xiao Han
Yuhan Dong
Biyue Zhu
Fang Wang
Yueping Liu
MedIm
40
6
0
13 Feb 2023
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Dimitris Stripelis
Umang Gupta
Nikhil J. Dhinagar
Greg Ver Steeg
Paul M. Thompson
J. Ambite
FedML
24
0
0
24 Aug 2022
Secure & Private Federated Neuroimaging
Secure & Private Federated Neuroimaging
Dimitris Stripelis
Umang Gupta
Hamza Saleem
Nikhil J. Dhinagar
Tanmay Ghai
...
Greg Ver Steeg
Srivatsan Ravi
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
OOD
21
2
0
11 May 2022
Secure Neuroimaging Analysis using Federated Learning with Homomorphic
  Encryption
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Dimitris Stripelis
Hamza Saleem
Tanmay Ghai
Nikhil J. Dhinagar
Umang Gupta
...
Greg Ver Steeg
Srivatsan Ravi
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
46
53
0
07 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta
Dmitris Stripelis
Pradeep Lam
Paul M. Thompson
J. Ambite
Greg Ver Steeg
MIACV
FedML
18
32
0
06 May 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and
  Accelerated Convergence in Cross-Silo Settings
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings
Dimitris Stripelis
J. Ambite
FedML
16
38
0
04 Feb 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,709
0
18 Mar 2020
1