3 papers
cs.AI2025
Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes
Zhiyao Xu, Dan Zhao, Qingsong Zou +4
As smart homes become increasingly prevalent, intelligent models are widely used for tasks such as anomaly detection and behavior prediction. These models are typically trained on…
cs.LG2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
Fucheng Guo, Zeyu Luan, Qing Li +2
Federated Learning (FL) has emerged as an essential framework for distributed machine learning, especially with its potential for privacy-preserving data processing. However, exist…
cs.AI2025
Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
Zhiyao Xu, Dan Zhao, Qingsong Zou +4
In recent years, as smart home systems have become more widespread, security concerns within these environments have become a growing threat. Currently, most smart home security so…