FENP / pytorchtool
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
Alternatives and similar repositories for pytorchtool:
Users that are interested in pytorchtool are comparing it to the libraries listed below
- A DNN model partition demo☆30Updated 5 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆12Updated last year
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆12Updated last year
- ☆13Updated 5 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆41Updated 3 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
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆34Updated last year
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆18Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆14Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- ☆17Updated last year
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 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
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆37Updated last year
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated last year
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆13Updated last year
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated last year
- ☆13Updated last year
- ☆25Updated 4 years ago
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆18Updated 3 years ago
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆72Updated last year
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆12Updated 7 months ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated last year
- ☆16Updated 4 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆19Updated 4 years ago
- 基于提前退出部分样本原理而实现的带分支网络(supported by chainer)☆45Updated 5 years ago
- Resource Efficient Federated Learning☆23Updated 2 years ago
- INFOCOM 2024: Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference☆12Updated 5 months ago