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Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client
  Sampling

Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling

30 September 2023
Huancheng Chen
H. Vikalo
    FedML
ArXivPDFHTML

Papers citing "Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling"

3 / 3 papers shown
Title
Mixed-Precision Quantization for Federated Learning on
  Resource-Constrained Heterogeneous Devices
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
Huancheng Chen
H. Vikalo
FedML
MQ
23
7
0
29 Nov 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced
  Variance
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance
Dun Zeng
Zenglin Xu
Yu Pan
Xu Luo
Qifan Wang
Xiaoying Tang
FedML
25
1
0
04 Oct 2023
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,296
0
09 Jun 2011
1