Deploy AI at the Edge to Bridge the Information Gap: Efficiency and Security
Overview
Abstract
Artificial Intelligence (AI) has significantly transformed various industries and will continue to deepen its integration into daily life. The increasing deployment of IoT devices and large-scale data collection present critical challenges in ensuring efficient AI model integration while maintaining security and user privacy. At the CIDER Lab, we are addressing these issues by exploring how AI can be effectively deployed at the edge to optimize both efficiency and security. Our research spans multiple domains, including wireless communication, cybersecurity, and real-world applications. In wireless networks, we enhance Physical Layer Security (PLS) using Graph Neural Networks (GNNs) and improve spectrum sensing with deep learning techniques. In the realm of security, we focus on phishing detection and explore how Large Language Models (LLMs) can mitigate DDoS attacks when deployed on edge devices. Beyond network security, we also investigate practical applications of Edge AI, such as using machine learning for waste classification, audio analysis with Edge LLMs, and leveraging AI-driven solutions for carbon reduction. By deploying AI at the edge, we aim to bridge the information gap, enabling real-time intelligence while overcoming resource constraints and safeguarding privacy. This seminar will provide insights into our latest research efforts and discuss the challenges and opportunities in developing secure and efficient Edge AI solutions.
Speaker Biography
Dr. Qun Wang is an Assistant Professor in the Department of Computer Science at San Francisco State University and leads the CIDER Lab. His research focuses on Edge AI, wireless security, and intelligent network optimization, with applications in cybersecurity, IoT, and sustainable computing. He has worked extensively on deploying AI-driven solutions for secure and efficient communication, spectrum sensing, and resource-constrained edge computing. Dr. Wang has collaborated with industry and academic partners to advance AI-powered security and network intelligence.