yoshitomo-matsubara / head-network-distillation
[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
☆36Updated last year
Alternatives and similar repositories for head-network-distillation:
Users that are interested in head-network-distillation are comparing it to the libraries listed below
- A DNN model partition demo☆30Updated 5 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆40Updated 3 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆26Updated 4 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆12Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆14Updated 2 years ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆18Updated last year
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆33Updated last year
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆12Updated last year
- ☆25Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆35Updated last year
- ☆13Updated 5 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆12Updated 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☆11Updated 3 years ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆13Updated last year
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆12Updated 7 months ago
- ☆17Updated last year
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- Pytorch-based early exit network inspired by branchynet☆31Updated 2 weeks ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated 10 months 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
- [WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"☆32Updated last year
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆69Updated last year
- [TMC'22] SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments☆16Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆20Updated last year
- ☆64Updated 3 years ago
- Federated Learning over Wireless Networks☆45Updated 3 years ago