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Mixed-Precision Quantization for Federated Learning on
  Resource-Constrained Heterogeneous Devices

Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices

29 November 2023
Huancheng Chen
H. Vikalo
    FedML
    MQ
ArXivPDFHTML

Papers citing "Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices"

5 / 5 papers shown
Title
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client
  Sampling
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling
Huancheng Chen
H. Vikalo
FedML
8
2
0
30 Sep 2023
Towards Mixed-Precision Quantization of Neural Networks via Constrained
  Optimization
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
Weihan Chen
Peisong Wang
Jian Cheng
MQ
33
61
0
13 Oct 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 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
1