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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–875 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
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