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References (46)

[1]
Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading
2026You Zhou, Qunsong Zeng et al.
[2]
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
2025Guanqiao Qu, Chen Qian et al.
[3]
Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks
2025Jiacheng Yao, Wei Xu et al.
[4]
Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
2025Zhiyan Liu, Xu Chen et al.
[5]
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
2025You Zhou, Changsheng You et al.
[6]
Joint Device Scheduling and Resource Allocation for ISCC-Based Multiview–Multitask Inference
2024Diao Wang, Dingzhu Wen et al.
[7]
Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence
2024Qunsong Zeng, Zhanwei Wang et al.
[8]
Optimal AI Model Splitting and Resource Allocation for Device-Edge Co-Inference in Multi-User Wireless Sensing Systems
2024Xian Li, Suzhi Bi
[9]
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
2024Yuxuan Chen, Rongpeng Li et al.
[10]
Green Edge AI: A Contemporary Survey
2023Yuyi Mao, X. Yu et al.
[11]
Progressive Feature Transmission for Split Classification at the Wireless Edge
2023Qiao Lan, Qunsong Zeng et al.
[12]
Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices
2023Jaeduk Lee, Hojung Lee et al.
[13]
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
2022Dingzhu Wen, Peixi Liu et al.
[14]
Resource-Constrained Edge AI with Early Exit Prediction
2022Rongkang Dong, Yuyi Mao et al.
[15]
Resource Allocation for Multiuser Edge Inference With Batching and Early Exiting
2022Zhi-yong Liu, Qiao Lan et al.
[16]
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
2021Stefanos Laskaridis, Alexandros Kouris et al.
[17]
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
2021Jiahe Yan, Suzhi Bi et al.
[18]
von Mises–Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
2021Tyler R. Scott, Andrew C. Gallagher et al.
[19]
Dynamic Neural Networks: A Survey
2021Yizeng Han, Gao Huang et al.
[20]
Communication-Computation Trade-off in Resource-Constrained Edge Inference
2020Jiawei Shao, Jun Zhang

Showing 20 of 46 references

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"Develop a channel-adaptive AI algorithm to maximize edge inference throughput by adjusting computational complexity based on channel conditions."

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10

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2.5

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