hou-yz / pytorch-pruning-2stepLinks
2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stronger devices or cloud).
☆23Updated 7 years ago
Alternatives and similar repositories for pytorch-pruning-2step
Users that are interested in pytorch-pruning-2step are comparing it to the libraries listed below
Sorting:
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆29Updated 5 years ago
- 基于提前退出部分样本原理而实现的带分支网络(supported by chainer)☆45Updated 6 years ago
- A DNN model partition demo☆31Updated 5 years ago
- 2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs☆17Updated 2 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 2 years ago
- ☆132Updated last year
- DNN_Partition辅助工具,用于对pytorch模型进行简单的性能分析以及支持模型切分☆13Updated 4 years ago
- Pytorch-based early exit network inspired by branchynet☆34Updated 4 months ago
- Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"☆53Updated 4 years ago
- [ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL …☆25Updated 2 years ago
- Making accurate object detection at the edge: review and new approach☆37Updated 4 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆41Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- DNN partition edge-cloud co-infer☆10Updated 2 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆13Updated last month
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆29Updated 4 years ago
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆42Updated 2 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- 随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速…☆297Updated 3 years ago
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆15Updated 2 years ago
- ☆17Updated 5 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆13Updated last year
- ☆117Updated 6 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆14Updated 2 years ago
- ☆14Updated 2 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆118Updated 4 years ago
- Federated Reinforcement Learning☆12Updated 6 years ago
- Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)☆97Updated 2 years ago