activity
20222026
most citedTowards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2026

Cross-Layer Traffic Allocation and Contention Window Optimization for Wi-Fi 7 MLO: When DRL Meets LSTM

Zhang Liu, Xianbin Wang, Shumin Lian +3

To support future diverse applications, multi-link operation (MLO) has been introduced in the Wi-Fi 7 standard (IEEE 802.11be) to enable concurrent communication over multiple freq…

cs.DC2024

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…

cs.DC2024★ 1 cited

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…

cs.NI2024

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…

cs.DC2023

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…

cs.NI2023

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…

cs.LG2022★ 1 cited

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…