42 citations · 91 across the 15 of their papers we have counts for
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cs.LG2022★ 10 cited
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…
cs.LG2021★ 42 cited
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
With the deployment of smart sensors and advancements in communication technologies, big data analytics have become vastly popular in the smart grid domain, informing stakeholders…