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Federated Learning for Energy Constrained IoT devices: A systematic
  mapping study

Federated Learning for Energy Constrained IoT devices: A systematic mapping study

9 January 2023
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
ArXivPDFHTML

Papers citing "Federated Learning for Energy Constrained IoT devices: A systematic mapping study"

4 / 4 papers shown
Title
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
48
100
0
02 May 2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank
  Compression
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
Zhefeng Qiao
Xianghao Yu
Jun Zhang
Khaled B. Letaief
FedML
33
19
0
26 Apr 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
165
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
1