4 papers
4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather
Melih Yazgan, Iramm Hamdard, Qiyuan Wu +1
Cooperative perception is important for autonomous driving but remains fragile when cameras and LiDAR degrade in adverse weather. We address this challenge by integrating 4D imagin…
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
Renzi Meng, Heyi Wang, Yumeng Sun +3
This paper addresses the increasingly prominent problem of anomaly detection in distributed systems. It proposes a detection method based on federated contrastive learning. The goa…
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures
Yang Wang, Wenxuan Zhu, Xuehui Quan +3
This paper addresses the challenges of fault prediction and delayed response in distributed systems by proposing an intelligent prediction method based on temporal feature learning…
Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems
Wenxuan Zhu, Qiyuan Wu, Tengda Tang +3
This paper addresses the limitations of multi-node perception and delayed scheduling response in distributed systems by proposing a GNN-based multi-node collaborative perception me…