gorakraj / earlyexit_onnx
2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs
☆15Updated last year
Related projects: ⓘ
- Pytorch-based early exit network inspired by branchynet☆27Updated last year
- 基于提前退出部分样本原理而实现的带分支网络(supported by chainer)☆41Updated 5 years ago
- A curated list of early exiting☆24Updated 3 weeks ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆28Updated 4 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆25Updated 10 months ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆39Updated last year
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆13Updated 3 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆9Updated last month
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆35Updated 3 years ago
- [WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"☆29Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- ☆22Updated 3 years ago
- ☆27Updated 4 years ago
- ☆20Updated last year
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆19Updated 6 months ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆32Updated last year
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆31Updated 2 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆50Updated 3 years ago
- A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper…☆23Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆76Updated 2 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆28Updated 3 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
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆27Updated last year
- Deep neural network (DNN) implementation for inference tasks☆13Updated 5 years ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆20Updated 3 years ago
- Federated learning with model quantization☆14Updated 2 years ago
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 4 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆19Updated 2 years ago