h-shawn / Split-learningLinks
A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.
☆13Updated 2 years ago
Alternatives and similar repositories for Split-learning
Users that are interested in Split-learning are comparing it to the libraries listed below
Sorting:
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆22Updated 2 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆40Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆14Updated 2 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☆12Updated 4 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆13Updated last year
- A DNN model partition demo☆31Updated 5 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆40Updated 3 years ago
- ☆13Updated 5 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- DNN partition edge-cloud co-infer☆10Updated 2 years ago
- ☆25Updated 4 years ago
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆82Updated last year