26 citations · 56 across the 7 of their papers we have counts for
7 papers
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
Handi Chen, Jing Deng, Xiuzhe Wu +4
Internet of Things (IoT) devices constantly generate heterogeneous data streams, driving demand for continuous, decentralized intelligence. Federated Lifelong Learning (FLL) provid…
NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
Running Zhao, Zhihan Jiang, Xinchen Zhang +7
Users often take notes for instructional videos to access key knowledge later without revisiting long videos. Automated note generation tools enable users to obtain informative not…
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
Handi Chen, Rui Zhou, Yun-Hin Chan +3
Leveraging blockchain in Federated Learning (FL) emerges as a new paradigm for secure collaborative learning on Massive Edge Networks (MENs). As the scale of MENs increases, it bec…
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Zhihan Jiang, Running Zhao, Lin Lin +7
Growing awareness of wellness has prompted people to consider whether their dietary patterns align with their health and fitness goals. In response, researchers have introduced var…
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang +4
Intrusion Detection Systems (IDS) are crucial for safeguarding digital infrastructure. In dynamic network environments, both threat landscapes and normal operational behaviors are…
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
Handi Chen, Weipeng Deng, Shuo Yang +5
Edge Intelligence (EI) has been instrumental in delivering real-time, localized services by leveraging the computational capabilities of edge networks. The integration of Large Lan…
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang +4
The rapid expansion of the Internet of Things (IoT) has raised increasing concern about targeted cyber attacks. Previous research primarily focused on static Intrusion Detection Sy…