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Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End Collaboration

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Importance sampling: a review
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DRL based partial offloading for maximizing sum computation rate of FDMA-based wireless powered mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2022.10.033openalex-snapshot
An adaptive DNN inference acceleration framework with end–edge–cloud collaborative computing
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00637openalex-snapshot
Towards Compact CNNs via Collaborative Compression
inferredcites →https://doi.org/10.1109/iccv.2019.00140openalex-snapshot
Searching for MobileNetV3
inferredcites →https://doi.org/10.1109/infcomw.2019.8845240openalex-snapshot
DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications
inferredcites →https://doi.org/10.1109/infocom.2019.8737614openalex-snapshot
Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge
inferredcites →https://doi.org/10.1109/islped47221.2019openalex-snapshot
2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
inferredcites →https://doi.org/10.1109/jiot.2019.2959035openalex-snapshot
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT
inferredcites →https://doi.org/10.1109/jiot.2021.3123406openalex-snapshot
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2022.3222210openalex-snapshot
Deep-Reinforcement-Learning-Based Resource Allocation for Cloud Gaming via Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2023.3304304openalex-snapshot
Computation Placement Orchestrator for Mobile-Edge Computing in Heterogeneous Vehicular Networks
inferredcites →https://doi.org/10.1109/mnet.2018.1700145openalex-snapshot
ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications
inferredcites →https://doi.org/10.1109/percomw.2019.8730652openalex-snapshot
2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
inferredcites →https://doi.org/10.1109/tcc.2021.3074159openalex-snapshot
Computation Migration Oriented Resource Allocation in Mobile Social Clouds
inferredcites →https://doi.org/10.1109/tgcn.2021.3122911openalex-snapshot
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing
inferredcites →https://doi.org/10.1109/tits.2021.3099368openalex-snapshot
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks
inferredcites →https://doi.org/10.1109/tits.2023.3274307openalex-snapshot
Microservice-Oriented Service Placement for Mobile Edge Computing in Sustainable Internet of Vehicles
inferredcites →https://doi.org/10.1109/tits.2023.3307589openalex-snapshot
CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions
inferredcites →https://doi.org/10.1109/tmc.2019.2947893openalex-snapshot
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
inferredcites →https://doi.org/10.1109/tmc.2019.2957804openalex-snapshot
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tmc.2021.3114193openalex-snapshot
Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1109/tmc.2022.3172402openalex-snapshot
Multi-exit DNN Inference Acceleration based on Multi-Dimensional Optimization for Edge Intelligence
inferredcites →https://doi.org/10.1109/tmc.2022.3183098openalex-snapshot
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
inferredcites →https://doi.org/10.1109/tmc.2023.3289611openalex-snapshot
MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tnet.2020.3042320openalex-snapshot
CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices
inferredcites →https://doi.org/10.1109/tnsm.2021.3116665openalex-snapshot
Joint Optimization With DNN Partitioning and Resource Allocation in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2021.3068255openalex-snapshot
Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT
inferredcites →https://doi.org/10.1109/twc.2019.2946140openalex-snapshot
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
inferredcites →https://doi.org/10.1145/3093337.3037698openalex-snapshot
Neurosurgeon
inferredcites →https://doi.org/10.1145/3486674openalex-snapshot
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions
inferredcites →https://doi.org/10.1145/3560905.3568520openalex-snapshot
BlastNet
inferredcites →https://doi.org/10.1145/3564121.3564796openalex-snapshot
Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices
inferredcites →https://doi.org/10.4230/oasics.dx.2024.16openalex-snapshot
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
inferredcites →https://doi.org/10.48550/arxiv.1812.05905openalex-snapshot
Soft Actor-Critic Algorithms and Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114346openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cloudcom67567.2025.11331487openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icde65706.2026.00285openalex-snapshot
D2SQA: An Edge-Cloud Collaborative Slow Query Analysis Framework Deployed at DBAPPSecurity
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inferred← citeshttps://doi.org/10.1109/jiot.2024.3381636openalex-snapshot
Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach
inferred← citeshttps://doi.org/10.1109/jsyst.2024.3390554openalex-snapshot
Energy Efficiency Maximization for UAV-Assisted Full-Duplex Communication in the Presence of Multiple Malicious Jammers
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Decentralized and Fault-Tolerant Task Offloading for Enabling Network Edge Intelligence
inferred← citeshttps://doi.org/10.1109/mnet.2025.3533581openalex-snapshot
Cloud-Edge-End Collaborative Inference in Mobile Networks: Challenges and Solutions
inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11064735openalex-snapshot
When Sentiment Analysis Faces Missing Modalities: A Specific and Invariant Feature Learning Approach
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Applied Federated Model Personalization in the Industrial Domain: A Comparative Study
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Deep Reinforcement Learning-based Mining Task Offloading Scheme for Intelligent Connected Vehicles in UAV-aided MEC
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Joint optimization of DNN model partitioning and slice delivery for distributed edge-cloud inference over optical networks
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Optimization Methods, Challenges, and Opportunities for Edge Inference: A Comprehensive Survey
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