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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 701–750 of 1279 papers

TitleStatusHype
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
Towards AIOps in Edge Computing Environments—0
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning—0
Towards Big data processing in IoT: network management for online edge data processing—0
Byzantine-resilient Decentralized Stochastic Gradient Descent—0
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets—0
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things—0
Towards Deterministic End-to-end Latency for Medical AI Systems in NVIDIA Holoscan—0
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware—0
Towards Efficient Model-Heterogeneity Federated Learning for Large Models—0
Towards Energy Efficient Distributed Federated Learning for 6G Networks—0
Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT—0
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring—0
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design—0
Towards Self-learning Edge Intelligence in 6G—0
Towards Sustainable Satellite Edge Computing—0
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services—0
Training Deep Neural Networks with Constrained Learning Parameters—0
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning—0
Training Machine Learning models at the Edge: A Survey—0
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing—0
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing—0
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability—0
Trustworthy Graph Neural Networks: Aspects, Methods and Trends—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic—0
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling—0
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing—0
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI—0
Turbo: Opportunistic Enhancement for Edge Video Analytics—0
Two-Hop Age of Information Scheduling for Multi-UAV Assisted Mobile Edge Computing: FRL vs MADDPG—0
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach—0
UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning—0
UAV-Assisted MEC for Disaster Response: Stackelberg Game-Based Resource Optimization—0
UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization—0
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design—0
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces—0
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence—0
Uncertainty Estimation in Multi-Agent Distributed Learning—0
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices—0
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders—0
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