4 papers
Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
Ragini Gupta, Naman Raina, Bo Chen +5
Modern IoT deployments for environmental sensing produce high volume spatiotemporal data to support downstream tasks such as forecasting, typically powered by machine learning mode…
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
Ragini Gupta, Shinan Liu, Ruixiao Zhang +7
Machine learning has shown promise in network intrusion detection systems, yet its performance often degrades due to concept drift and imbalanced data. These challenges are compoun…
STAC: Leveraging Spatio-Temporal Data Associations For Efficient Cross-Camera Streaming and Analytics
Ragini Gupta, Lingzhi Zhao, Jiaxi Li +5
In IoT based distributed network of cameras, real-time multi-camera video analytics is challenged by high bandwidth demands and redundant visual data, creating a fundamental tensio…
Performance Characterization of Containers in Edge Computing
Ragini Gupta, Klara Nahrstedt
Edge computing addresses critical limitations of cloud computing such as high latency and network congestion by decentralizing processing from cloud to the edge. However, the need…