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Context-aware Adaptive Surgery

https://doi.org/10.1145/3478073
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-58536-5_38openalex-snapshot
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
inferredcites →https://doi.org/10.1007/978-3-540-39964-3_62openalex-snapshot
KNN Model-Based Approach in Classification
inferredcites →https://doi.org/10.1109/avss.2018.8639121openalex-snapshot
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms
inferredcites →https://doi.org/10.1109/comst.2019.2904897openalex-snapshot
Deep Learning in Mobile and Wireless Networking: A Survey
inferredcites →https://doi.org/10.1109/comst.2020.2970550openalex-snapshot
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00140openalex-snapshot
Searching for MobileNetV3
inferredcites →https://doi.org/10.1109/icdcs.2017.226openalex-snapshot
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices
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/jproc.2019.2918951openalex-snapshot
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
inferredcites →https://doi.org/10.1109/mnet.2018.1700389openalex-snapshot
Vehicle Safety Improvement through Deep Learning and Mobile Sensing
inferredcites →https://doi.org/10.1109/padsw.2018.8645013openalex-snapshot
JALAD: Joint Accuracy-And Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
inferredcites →https://doi.org/10.1109/tcad.2018.2858384openalex-snapshot
DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters
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/10.1111/(issn)1467-8659openalex-snapshot
Computer Graphics Forum
inferredcites →https://doi.org/10.1145/2307636.2307658openalex-snapshot
A close examination of performance and power characteristics of 4G LTE networks
inferredcites →https://doi.org/10.1145/2994551.2994569openalex-snapshot
Deep Learning for RFID-Based Activity Recognition
inferredcites →https://doi.org/10.1145/3007787.3001177openalex-snapshot
Eyeriss
inferredcites →https://doi.org/10.1145/3093337.3037698openalex-snapshot
Neurosurgeon
inferredcites →https://doi.org/10.1145/3210240.3210337openalex-snapshot
On-Demand Deep Model Compression for Mobile Devices
inferredcites →https://doi.org/10.1145/3287076openalex-snapshot
HeadGesture
inferredcites →https://doi.org/10.1145/3328916openalex-snapshot
Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3341163.3347735openalex-snapshot
GestEar
inferredcites →https://doi.org/10.1145/3397318openalex-snapshot
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress
inferredcites →https://doi.org/10.1145/3397336openalex-snapshot
Making It Personal
inferredcites →https://doi.org/10.1609/aaai.v34i07.6900openalex-snapshot
Sparsity-Inducing Binarized Neural Networks
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.204openalex-snapshot
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
inferredcites →https://doi.org/10.23919/date.2017.7927211openalex-snapshot
MoDNN: Local distributed mobile computing system for Deep Neural Network
inferredcites →https://doi.org/10.23919/fpl.2017.8056828openalex-snapshot
Latency-driven design for FPGA-based convolutional neural networks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-96-8728-2_3openalex-snapshot
Latency-Optimal and Memory-Aware Model Partitioning for Cooperative Inference at the Edge
inferred← citeshttps://doi.org/10.1007/s11517-025-03420-zopenalex-snapshot
Slippage-suppression robot-assisted retraction for thyroid surgery with 5DoF contact force sensing
inferred← citeshttps://doi.org/10.1109/cipae60493.2023.00014openalex-snapshot
Adaptive Deep Inference Framework for Cloud-Edge Collaboration
inferred← citeshttps://doi.org/10.1109/comst.2023.3319952openalex-snapshot
Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey
inferred← citeshttps://doi.org/10.1109/cyberscitech64112.2024.00014openalex-snapshot
Review of Collaborative Inference in Edge Intelligence: Emphasis on DNN Partition
inferred← citeshttps://doi.org/10.1109/icdcs57875.2023.00062openalex-snapshot
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143292openalex-snapshot
AutoCut: Multi-Objective Offloading Service for Heterogeneous DNN in Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2022.3194726openalex-snapshot
CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT
inferred← citeshttps://doi.org/10.1109/jiot.2023.3279579openalex-snapshot
Content-Aware Adaptive Device–Cloud Collaborative Inference for Object Detection
inferred← citeshttps://doi.org/10.1109/jiot.2024.3428554openalex-snapshot
RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2025.3542490openalex-snapshot
AdaScale: Dynamic Context-Aware DNN Scaling via Automated Adaptation Loop on Mobile Devices
inferred← citeshttps://doi.org/10.1109/msn57253.2022.00037openalex-snapshot
Fine-grained Cloud Edge Collaborative Dynamic Task Scheduling Based on DNN Layer-Partitioning
inferred← citeshttps://doi.org/10.1109/tits.2025.3629117openalex-snapshot
Deep Reinforcement Learning-Based Task Offloading With Collaborative Inference in UAV-Assisted Mobile Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/tmc.2024.3355764openalex-snapshot
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
inferred← citeshttps://doi.org/10.1109/tmc.2024.3466931openalex-snapshot
AdaKnife: Flexible DNN Offloading for Inference Acceleration on Heterogeneous Mobile Devices
inferred← citeshttps://doi.org/10.1109/tmc.2024.3474743openalex-snapshot
Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator
inferred← citeshttps://doi.org/10.1109/tmc.2024.3487294openalex-snapshot
ClassTer: Mobile Shift-Robust Personalized Federated Learning via Class-Wise Clustering
inferred← citeshttps://doi.org/10.1109/tmc.2025.3549399openalex-snapshot
CrowdHMTware: A Cross-Level Co-Adaptation Middleware for Context-Aware Mobile DL Deployment
inferred← citeshttps://doi.org/10.1109/tmc.2025.3564314openalex-snapshot
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
inferred← citeshttps://doi.org/10.1109/tmc.2025.3572215openalex-snapshot
AdaShift: Anti-Collapse and Real-Time Deep Model Evolution for Mobile Vision Applications
inferred← citeshttps://doi.org/10.1109/tmc.2026.3682748openalex-snapshot
DMS: Throughput-Aware Distributed Multimodal Model Surgery on Embedded Devices
inferred← citeshttps://doi.org/10.1109/tnse.2025.3637030openalex-snapshot
Load-Balance-Guaranteed DNN Distributed Inference Offloading in MEC Networks Interconnected by Metro Optical Networks
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3561739openalex-snapshot
Joint DNN Partitioning and Task Offloading Based on Attention Mechanism-Aided Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3630098openalex-snapshot
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1145/3715098openalex-snapshot
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
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