21 citations · 45 across the 11 of their papers we have counts for
11 papers
CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence
Zhiqiang Xie, Yijing Lin, Zhipeng Gao +1
Edge devices increasingly invoke large language models (LLMs) through API services for context aware edge intelligence, while edge generated data may be collected to improve LLMs a…
Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
Guiyang Luo, Jinglin Li, Qixun Zhang +6
The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordination, bringing new challenges in dynamic airspace management, unmanned aerial veh…
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
Hongyang Du, Guangyuan Liu, Yijing Lin +4
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinfo…
Scalable Federated Unlearning via Isolated and Coded Sharding
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Federated unlearning has emerged as a promising paradigm to erase the client-level data effect without affecting the performance of collaborative learning models. However, the fede…
Blockchain-enabled Trustworthy Federated Unlearning
Yijing Lin, Zhipeng Gao, Hongyang Du +3
Federated unlearning is a promising paradigm for protecting the data ownership of distributed clients. It allows central servers to remove historical data effects within the machin…
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu +10
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy a…
A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse
Yijing Lin, Zhipeng Gao, Hongyang Du +4
As the Metaverse continues to grow, the need for efficient communication and intelligent content generation becomes increasingly important. Semantic communication focuses on convey…
Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse
Yijing Lin, Hongyang Du, Dusit Niyato +4
The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between…
A Blockchain-based Semantic Exchange Framework for Web 3.0 toward Participatory Economy
Yijing Lin, Zhipeng Gao, Yaofeng Tu +4
Web 3.0 is the next-generation Internet that enables participants to read, write, and own contents in a decentralized manner. It is mainly driven by blockchain, semantic communicat…
A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Web 3.0 enables user-generated contents and user-selected authorities. With decentralized wireless edge computing architectures, Web 3.0 allows users to read, write, and own conten…
BcMON: Blockchain Middleware for Offline Networks
Yijing Lin, Zhipeng Gao, Qian Wang +2
Blockchain is becoming a new generation of information infrastructures. However, the current blockchain solutions rely on a continuous connectivity network to query and modify the…