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Federated Action Recognition on Heterogeneous Embedded Devices

Federated Action Recognition on Heterogeneous Embedded Devices

18 July 2021
Pranjali Jain
Shreyas Goenka
S. Bagchi
Biplab Banerjee
Somali Chaterji
    FedML
ArXivPDFHTML

Papers citing "Federated Action Recognition on Heterogeneous Embedded Devices"

5 / 5 papers shown
Title
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
137
127
0
03 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
176
764
0
28 Sep 2019
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to
  a Lightweight CNN
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
S. Nikouei
Yu Chen
Sejun Song
Ronghua Xu
Baek-Young Choi
Timothy R. Faughnan
40
83
0
24 Apr 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
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