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"☆21Updated 2 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆40Updated 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☆12Updated 4 years ago
- A DNN model partition demo☆31Updated 5 years ago
- ☆13Updated 5 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆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
- 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
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆81Updated last year
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆40Updated last year
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆12Updated 10 months ago
- ☆25Updated 4 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆73Updated 2 years ago
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆19Updated 3 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 years ago
- INFOCOM 2024: Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference☆17Updated 7 months ago
- ☆68Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆12Updated last year
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆20Updated 4 years ago
- ☆22Updated 2 years ago
- ☆28Updated 2 years ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆13Updated last year
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- ☆19Updated 2 years ago
- implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing☆61Updated 2 years ago