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Towards Sparsified Federated Neuroimaging Models via Weight Pruning

Towards Sparsified Federated Neuroimaging Models via Weight Pruning

24 August 2022
Dimitris Stripelis
Umang Gupta
Nikhil J. Dhinagar
Greg Ver Steeg
Paul M. Thompson
J. Ambite
    FedML
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Papers citing "Towards Sparsified Federated Neuroimaging Models via Weight Pruning"

3 / 3 papers shown
Title
Scaling Neuroscience Research using Federated Learning
Scaling Neuroscience Research using Federated Learning
Dimitris Stripelis
J. Ambite
Pradeep Lam
Paul M. Thompson
FedML
37
28
0
16 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
141
684
0
31 Jan 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
1,707
0
18 Mar 2020
1