Li Yang
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This paper reviews cybersecurity vulnerabilities in CubeSats, proposing TinyML-based, resource-efficient intrusion detection systems to address limitations of traditional security measures.
CoMIC is a cloud-edge framework that enables resource-constrained LLM agents to successfully complete complex, long-horizon tasks by collaboratively sharing and refining memory and insights between local edge devices and a central cloud critic.
This paper surveys Neural Architecture Search methods for traffic prediction, automating the design of deep learning models for spatial-temporal traffic data.
Papers
Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions
This paper surveys Neural Architecture Search methods for traffic prediction, automating the design of deep learning models for spatial-temporal traffic data.