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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 951–1000 of 1279 papers

TitleStatusHype
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning—0
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network—0
Stochastic Geometry-Based Performance Evaluation for LEO Satellite-Assisted Space Caching—0
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management—0
STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks—0
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks—0
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case—0
Streaming Video Analytics On The Edge With Asynchronous Cloud Support—0
StreamTinyNet: video streaming analysis with spatial-temporal TinyML—0
Structure-aware reinforcement learning for node-overload protection in mobile edge computing—0
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning—0
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study—0
Sustainable AI Processing at the Edge—0
Sustainable Task Offloading in Secure UAV-assisted Smart Farm Networks: A Multi-Agent DRL with Action Mask Approach—0
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications—0
Switch-Based Multi-Part Neural Network—0
Sylva: Tailoring Personalized Adversarial Defense in Pre-trained Models via Collaborative Fine-tuning—0
SymED: Adaptive and Online Symbolic Representation of Data on the Edge—0
System Integration of Xilinx DPU and HDMI for Real-Time inference in PYNQ Environment with Image Enhancement—0
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning—0
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing—0
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures—0
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems—0
Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning—0
Terahertz Communication Multi-UAV-Assisted Mobile Edge Computing System—0
Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks—0
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments—0
The online learning architecture with edge computing for high-level control for assisting patients—0
Theory of Mixture-of-Experts for Mobile Edge Computing—0
The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions—0
The Shift to 6G Communications: Vision and Requirements—0
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications—0
The Why, What and How of Artificial General Intelligence Chip Development—0
THOR -- A Neuromorphic Processor with 7.29G TSOP^2/mm^2Js Energy-Throughput Efficiency—0
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference—0
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence—0
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data—0
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems—0
TinyML: Tools, Applications, Challenges, and Future Research Directions—0
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing—0
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey—0
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs—0
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices—0
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission—0
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing—0
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless—0
Toward Runtime-Throttleable Neural Networks—0
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap—0
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