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Canoe : A System for Collaborative Learning for Neural Nets

Canoe : A System for Collaborative Learning for Neural Nets

27 August 2021
Harshit Daga
Yiwen Chen
Aastha Agrawal
Ada Gavrilovska
    FedML
ArXivPDFHTML

Papers citing "Canoe : A System for Collaborative Learning for Neural Nets"

5 / 5 papers shown
Title
Distilling Critical Paths in Convolutional Neural Networks
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu
Zhuwei Qin
Xiang Chen
28
22
0
28 Oct 2018
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
59
116
0
07 Jun 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,688
0
14 Apr 2018
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
278
404
0
09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,599
0
17 Apr 2017
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