gorakraj / earlyexit_onnx
2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs
☆17Updated 2 years ago
Alternatives and similar repositories for earlyexit_onnx:
Users that are interested in earlyexit_onnx are comparing it to the libraries listed below
- Pytorch-based early exit network inspired by branchynet☆31Updated this week
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 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 5 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆41Updated 3 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated last year
- 2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stron…☆23Updated 6 years ago
- A DNN model partition demo☆30Updated 5 years ago
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆34Updated last year
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆26Updated 4 years ago
- 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☆11Updated 3 years ago
- ☆16Updated 4 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆13Updated last year
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆37Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Updated 5 years ago
- ☆17Updated 2 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆12Updated last year
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆18Updated last year
- ☆22Updated last year
- ☆25Updated 4 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆23Updated 3 years ago
- Auto-Split: A General Framework of Collaborative Edge-Cloud AI☆12Updated 3 years ago
- ☆13Updated 5 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆14Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago