%0 Journal Article %1 journals/corr/abs-2201-02783 %A Liu, Haizhou %A Zhang, Xuan %A Shen, Xinwei %A Sun, Hongbin %D 2022 %J CoRR %K dblp %T A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction. %U http://dblp.uni-trier.de/db/journals/corr/corr2201.html#abs-2201-02783 %V abs/2201.02783

@article{journals/corr/abs-2201-02783, added-at = {2022-06-12T00:00:00.000+0200}, author = {Liu, Haizhou and Zhang, Xuan and Shen, Xinwei and Sun, Hongbin}, biburl = {https://www.bibsonomy.org/bibtex/20184477ccc9ccb64aea556558848341d/dblp}, ee = {https://arxiv.org/abs/2201.02783}, interhash = {15afb1d4674358ae0f9955874f9eef88}, intrahash = {0184477ccc9ccb64aea556558848341d}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-08T22:24:32.000+0200}, title = {A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2201.html#abs-2201-02783}, volume = {abs/2201.02783}, year = 2022 }