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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1201–1250 of 1279 papers

TitleStatusHype
SleepGuardian: An RF-based Healthcare System Guarding Your Sleep from Afar—0
Machine Learning at the Network Edge: A SurveyCode1
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference—0
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing—0
A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing—0
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization—0
On the Convergence of FedAvg on Non-IID DataCode1
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning ApplicationsCode0
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin—0
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices—0
Active Learning Solution on Distributed Edge Computing—0
Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems—0
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach—0
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing—0
Run-Time Efficient RNN Compression for Inference on Edge Devices—0
OpenEI: An Open Framework for Edge Intelligence—0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
DeepShift: Towards Multiplication-Less Neural NetworksCode0
Toward Runtime-Throttleable Neural Networks—0
Age Based Task Scheduling and Computation Offloading in Mobile-Edge Computing Systems—0
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing—0
Towards Big data processing in IoT: network management for online edge data processing—0
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing—0
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty—0
RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC—0
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks—0
Robustness of Neural Networks to Parameter Quantization—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
Matching-Based Task Offloading for Vehicular Edge Computing—0
A Provably Secure and Efficient Identity-Based Anonymous Authentication Scheme for Mobile Edge Computing—0
Online Supervisory Control and Resource Management for Energy Harvesting BS Sites Empowered with Computation Capabilities—0
Online Resource Management in Energy Harvesting BS Sites through Prediction and Soft-Scaling of Computing Resources—0
Energy Efficient Resource Allocation for Mobile-Edge Computation Networks with NOMA—0
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge—0
HetMEC: Latency-optimal Task Assignment and Resource Allocation for Heterogeneous Mobile Edge Computing—0
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks—0
Resolution Strategies for Networking the IoT at the Edge via Named Functions—0
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time AppsCode0
Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing—0
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode0
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning—0
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks—0
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing—0
A mixed signal architecture for convolutional neural networks—0
Smart Grids empowerment with Edge Computing: An Overview—0
Progressive Weight Pruning of Deep Neural Networks using ADMM—0
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks—0
Spatio-temporal Edge Service Placement: A Bandit Learning Approach—0
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning—0
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