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Heterogeneous Federated Learning using Dynamic Model Pruning and
  Adaptive Gradient
v1v2 (latest)

Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
13 June 2021
Sixing Yu
P. Nguyen
Ali Anwar
Ali Jannesari
ArXiv (abs)PDFHTML

Papers citing "Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient"

3 / 3 papers shown
Federated Computing -- Survey on Building Blocks, Extensions and Systems
Federated Computing -- Survey on Building Blocks, Extensions and Systems
René Schwermer
R. Mayer
Hans-Arno Jacobsen
FedML
238
5
0
03 Apr 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
501
30
0
05 Mar 2024
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and
  Multi-Model Fusion
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
302
20
0
16 Aug 2022
1
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