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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1001–1025 of 1279 papers

TitleStatusHype
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
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