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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 26–50 of 1279 papers

TitleStatusHype
Efficient Neural Network Deployment for MicrocontrollerCode1
Communication-Computation Trade-Off in Resource-Constrained Edge InferenceCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality FusionCode1
DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge ComputingCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
Active multi-fidelity Bayesian online changepoint detectionCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AICode1
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event CameraCode1
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation OffloadingCode1
An FPGA-based Solution for Convolution Operation AccelerationCode1
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image UpsamplingCode1
FastIoT -- A framework and holistic approach for rapid development of IIoT systemsCode1
Differentiable Weightless Neural NetworksCode1
DONE: Distributed Approximate Newton-type Method for Federated Edge LearningCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
A Case For Adaptive Deep Neural Networks in Edge ComputingCode1
Channel-Aware Distillation Transformer for Depth Estimation on Nano DronesCode1
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge DevicesCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
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