most citedA Review of Federated Learning in Energy Systems

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data

Lele Qi, Mengna Liu, Xu Cheng +3

Wind farms, typically in high-latitude regions, face a high risk of blade icing. Traditional centralized training methods raise serious privacy concerns. To enhance data privacy in…

cs.CR2022★ 2 cited

A Review of Federated Learning in Energy Systems

Xu Cheng, Chendan Li, Xiufeng Liu

With increasing concerns for data privacy and ownership, recent years have witnessed a paradigm shift in machine learning (ML). An emerging paradigm, federated learning (FL), has g…