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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–900 of 1279 papers

TitleStatusHype
Pipeline Parallelism for Inference on Heterogeneous Edge Computing—0
Optimization-Based GenQSGD for Federated Edge Learning—0
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments—0
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency—0
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing—0
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers—0
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing—0
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention—0
A Deep Learning-based Approach for Real-time Facemask Detection—0
Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning—0
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge—0
Predicting Solar Flares with Remote Sensing and Machine Learning—0
A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization—0
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing—0
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs—0
Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids—0
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge InferenceCode1
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
On the Efficiency of Deep Neural Networks—0
Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning—0
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks—0
BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain—0
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach—0
On the Scheduling Policy for Multi-process WNCS under Edge Computing—0
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach—0
On the Fairness of Swarm Learning in Skin Lesion Classification—0
Energy-Efficient Design for IRS-Assisted MEC Networks with NOMA—0
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision—0
Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Bayesian Over-The-Air Computation—0
Smart Traffic Monitoring System using Computer Vision and Edge Computing—0
Statistical Estimation and Inference via Local SGD in Federated Learning—0
Canoe : A System for Collaborative Learning for Neural Nets—0
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges—0
A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics—0
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices—0
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach—0
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges—0
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare—0
Energy-efficient Blood Pressure Monitoring based on Single-site Photoplethysmogram on Wearable Devices—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka—0
Tiny Machine Learning for Concept DriftCode0
Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors—0
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