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Energy Efficient Federated Learning over Heterogeneous Mobile Devices
  via Joint Design of Weight Quantization and Wireless Transmission

Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission

21 December 2020
Rui Chen
Liang Li
Kaiping Xue
Chi Zhang
Miao Pan
Yuguang Fang
    MQ
ArXivPDFHTML

Papers citing "Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission"

6 / 6 papers shown
Title
Adaptive and Parallel Split Federated Learning in Vehicular Edge
  Computing
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
Xianke Qiang
Zheng Chang
Yun Hu
Lei Liu
Timo Hämäläinen
30
2
0
29 May 2024
Multiple Access in the Era of Distributed Computing and Edge
  Intelligence
Multiple Access in the Era of Distributed Computing and Edge Intelligence
Nikos G. Evgenidis
Nikos A. Mitsiou
Vasiliki I. Koutsioumpa
Sotiris A. Tegos
P. Diamantoulakis
G. Karagiannidis
46
8
0
26 Feb 2024
Energy and Spectrum Efficient Federated Learning via High-Precision
  Over-the-Air Computation
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation
Liang Li
Chenpei Huang
Dian Shi
Hao Wang
Xiangwei Zhou
Minglei Shu
Miao Pan
FedML
52
9
0
15 Aug 2022
Green, Quantized Federated Learning over Wireless Networks: An
  Energy-Efficient Design
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design
Minsu Kim
Walid Saad
Mohammad Mozaffari
Merouane Debbah
FedML
MQ
36
28
0
19 Jul 2022
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Dian Shi
Liang Li
Rui Chen
Pavana Prakash
Miao Pan
Yuguang Fang
38
44
0
13 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
176
764
0
28 Sep 2019
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