1 citations · 2 across the 9 of their papers we have counts for
9 papers
Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
Hong Wang, Xuwei Fan, Zhipeng Cheng +4
As Deep Neural Network (DNN) inference becomes increasingly prevalent on edge and mobile platforms, critical challenges emerge in privacy protection, resource constraints, and dyna…
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
Zhipeng Cheng, Xiaoyu Xia, Hong Wang +4
Edge inference (EI) has emerged as a promising paradigm to address the growing limitations of cloud-based Deep Neural Network (DNN) inference services, such as high response latenc…
Integrated Sensing, Communication, and Computing: An Information-oriented Resource Transaction Mechanism
Ning Chen, Zhipeng Cheng, Xuwei Fan +5
Information acquisition from target perception represents the key enabling technology of the Internet of Automatic Vehicles (IoAV), which is essential for the decision-making and c…
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence
Ning Chen, Zhipeng Cheng, Xuwei Fan +2
The high-performance generative artificial intelligence (GAI) represents the latest evolution of computational intelligence, while the blessing of future 6G networks also makes edg…
GainNet: Coordinates the Odd Couple of Generative AI and 6G Networks
Ning Chen, Jie Yang, Zhipeng Cheng +7
The rapid expansion of AI-generated content (AIGC) reflects the iteration from assistive AI towards generative AI (GAI) with creativity. Meanwhile, the 6G networks will also evolve…
QoE-oriented Dependent Task Scheduling under Multi-dimensional QoS Constraints over Distributed Networks
Xuwei Fan, Zhipeng Cheng, Ning Chen +2
Task scheduling as an effective strategy can improve application performance on computing resource-limited devices over distributed networks. However, existing evaluation mechanism…
Integrated Sensing, Communication, and Computing for Cost-effective Multimodal Federated Perception
Ning Chen, Zhipeng Cheng, Xuwei Fan +5
Federated learning (FL) is a classic paradigm of 6G edge intelligence (EI), which alleviates privacy leaks and high communication pressure caused by traditional centralized data pr…
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
Zhipeng Cheng, Xuwei Fan, Minghui Liwang +2
We investigate a data quality-aware dynamic client selection problem for multiple federated learning (FL) services in a wireless network, where each client offers dynamic datasets…
Distributed Machine Learning in D2D-Enabled Heterogeneous Networks: Architectures, Performance, and Open Challenges
Zhipeng Cheng, Xuwei Fan, Minghui Liwang +3
The ever-growing concerns regarding data privacy have led to a paradigm shift in machine learning (ML) architectures from centralized to distributed approaches, giving rise to fede…