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

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

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.DC20241 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…