Open access
Jul 2026
Personalized Federated Learning for Appliance Recognition via Context-Aware Feature Decoupling
The proposed personalized federated learning framework for appliance recognition in non-intrusive load monitoring (NILM) to address real-world data heterogeneity enables collaborative training without raw data exchange and mitigates the impact of inter-client label distribution skew.
Liang Zhu, Ai-Chao Yang, Chen Hu et al.
· Energies · 0 citations