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A Fair and Efficient Hybrid Federated Learning Framework based on
  XGBoost for Distributed Power Prediction

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

8 January 2022
Haizhou Liu
Xuan Zhang
Xinwei Shen
Hongbin Sun
    FedML
ArXivPDFHTML

Papers citing "A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction"

3 / 3 papers shown
Title
Entropy-driven Fair and Effective Federated Learning
Entropy-driven Fair and Effective Federated Learning
Lung-Chuang Wang
Zhichao Wang
Sai Praneeth Karimireddy
Xiaoying Tang
Xiaoying Tang
FedML
25
9
0
29 Jan 2023
Federated Learning with Hyperparameter-based Clustering for Electrical
  Load Forecasting
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
Nastaran Gholizadeh
Petr Musílek
FedML
34
74
0
14 Nov 2021
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
11
79
0
02 Nov 2021
1