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Edge-computing

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/alanbacellar/DWN

공식 코드

Differentiable Weightless Neural Networks

https://github.com/alanli1997/slim-neck-by-gsconv

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Slim-neck by GSConv: A lightweight-design for real-time detector architectures

https://github.com/alibriee/paella

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pAElla: Edge-AI based Real-Time Malware Detection in Data Centers

https://github.com/alirezaazadbakht/kernel-sharing

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Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing

https://github.com/amik-tj/dynamic_rectification_knowledge_distillation

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Dynamic Rectification Knowledge Distillation

https://github.com/aminavan/arl-rt-ts-ec

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Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing

https://github.com/asdfqwezxcf/advlatent

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Adversarial Machine Learning in Latent Representations of Neural Networks

https://github.com/ayanc/edgeml.mdp

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Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints

https://github.com/batool-salehi/beam_selection

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Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network

https://github.com/blessonvar/dnnshifter

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DNNShifter: An Efficient DNN Pruning System for Edge Computing

https://github.com/ch9397/fixedwing-monoppo

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Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs

https://github.com/chenhongyiyang/widthformer

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WidthFormer: Toward Efficient Transformer-based BEV View Transformation

https://github.com/chichidd/backdoordynamicdnn

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Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing

https://github.com/claudwq/Intelligent-IoT-Attack-Detection-Design-via-LLM-with-Feature-Ranking-Based-Knowledge-Base-Design

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Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base

https://github.com/cliffordlab/edgecameratracking

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A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing

https://github.com/comedialkb/learning_with_passive_optical_nonlinear_mapping

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Nonlinear optical encoding enabled by recurrent linear scattering

https://github.com/contextkit/mydigitalfootprint

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MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge

https://github.com/cpngroup/wptmec

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Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation

https://github.com/cuiying123456/gqfedwavg

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GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems

https://github.com/dginhac/ACDnet

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ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation

https://github.com/dual-grp/DONE

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DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

https://github.com/edun-eyes/tsc

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Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs

https://github.com/eleanor-w/kci_for_fl

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The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning

https://github.com/fdjingliu/nsvad

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Networking Systems for Video Anomaly Detection: A Tutorial and Survey

https://github.com/francescocappio/resend

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Semantic Novelty Detection via Relational Reasoning

https://github.com/giclab/secda

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SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference

https://github.com/gracefulning/mec_morl_multipolicy

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Multi-objective Deep Reinforcement Learning for Mobile Edge Computing

https://github.com/graison-thomas/TinyFinBERT

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Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation

https://github.com/halimabouzidi/hadas

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HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling

https://github.com/haoming-codes/moccasin

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Moccasin: Efficient Tensor Rematerialization for Neural Networks

https://github.com/haoyyli/hmm-decoder

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Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior

https://github.com/helmholtz-ai-energy/recycle

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ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers

https://github.com/hhchoi80/hkpose3d

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Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks

https://github.com/hlstransform/submission

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HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis

https://github.com/hpc-tuwien/demon

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A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments

https://github.com/hpcclab/Felare

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FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems

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