biggsbenjamin / earlyexitnet
Pytorch-based early exit network inspired by branchynet
☆29Updated last year
Related projects ⓘ
Alternatives and complementary repositories for earlyexitnet
- 基于提前退出部分样本原理而实现的带分支网络（supported by chainer）☆42Updated 5 years ago
- 2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs☆16Updated last year
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆28Updated 4 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆37Updated 3 years ago
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆35Updated last year
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆38Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆81Updated 2 years ago
- A DNN model partition demo☆30Updated 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
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- Every work on Federated Learning Pruning☆17Updated last year
- ☆124Updated last year
- Deep neural network (DNN) implementation for inference tasks☆13Updated 5 years ago
- Code for ScaleFL☆29Updated last year
- ☆23Updated 3 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆25Updated 3 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆10Updated last year
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆40Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆11Updated last year
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 4 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated last year
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆14Updated 3 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆10Updated 3 months ago
- ☆27Updated 4 years ago
- ☆12Updated 4 years ago
- 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