Research
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SafePath: Automated Extraction of Temporal Logic Based Trajectory Embeddings for Enhanced Autonomous Vehicle Safety
PI Madhur Behl, Ph.D. This research presents SafePath, a new method for evaluating and comparing autonomous vehicle safety by analyzing…
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Low Resource Edge Hardware Autoencoders for Anomaly Detection in Smart Cities Networks (LEADS)
PI Jayasimha Atulasimha, Ph.D. This research aims to develop AI tools for efficient real-time anomaly detection in smart city networks…
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Federated Few-shot Learning
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li Federated Learning (FL) enables multiple clients to collaboratively learn a machine learning model…
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Few-shot Node Classification with Extremely Weak Supervision
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li Few-shot node classification aims at classifying nodes with limited labeled nodes as references.Recent few-shot…
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Exploiting Features and Logits in Heterogeneous Federated Learning
Yun-Hin Chan, Edith C.-H. Ngai Due to the rapid growth of IoT and artificial intelligence, deploying neural networks on IoT devices…
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Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li Graph machine learning has gained great attention in both academia and industry recently. Most…
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2023 Fiscal Recap
he Central Virginia Node (CVN) has been a hub for collaborative research in cyber-physical systems, internet of things (IoT), and…
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Use of Intelligent Reflecting Surfaces For and Against Wireless Communication Security
Salih Sarp; Haolin Tang; Yanxiao Zhao Abstract: Intelligent Reflecting Surfaces (IRS) have been perceived as a promising and innovative technology for 5G…
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