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Efficient Adaptive Federated Optimization of Federated Learning for IoT

Efficient Adaptive Federated Optimization of Federated Learning for IoT

23 June 2022
Zunming Chen
Hongyan Cui
Ensen Wu
Yu Xi
ArXivPDFHTML

Papers citing "Efficient Adaptive Federated Optimization of Federated Learning for IoT"

4 / 4 papers shown
Title
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
Machine Learning for the Detection and Identification of Internet of
  Things (IoT) Devices: A Survey
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu
Jian Wang
Jianqiang Li
Shuteng Niu
H. Song
30
131
0
25 Jan 2021
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
162
760
0
28 Sep 2019
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
1,685
0
14 Apr 2018
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