MaryamEbr / Early-Exit-and-Partitioning-in-Deep-Neural-NetworksLinks
This repository contains some of the codes for paper "Combining DNN partitioning and early exit" published in EdgeSys '22: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, April 2022
☆11Updated 2 years ago
Alternatives and similar repositories for Early-Exit-and-Partitioning-in-Deep-Neural-Networks
Users that are interested in Early-Exit-and-Partitioning-in-Deep-Neural-Networks are comparing it to the libraries listed below
Sorting:
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆17Updated 3 years ago
- A DNN model partition demo☆32Updated 6 years ago
- DNN partition edge-cloud co-infer☆11Updated 2 years ago
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆44Updated 2 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆14Updated 4 months ago
- Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"☆14Updated 4 months ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆42Updated 4 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆17Updated last year
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆103Updated 2 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"☆11Updated 4 months ago
- 云边协同- collaborative inference📚工作汇总 📚 Collaborative Inference Work Summary☆96Updated last year
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆44Updated 2 years ago
- ☆13Updated 6 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆15Updated 2 years ago
- ☆27Updated 4 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☆14Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 3 years ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆23Updated 4 months ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆28Updated 5 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆87Updated 2 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆14Updated 2 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆29Updated 5 years ago
- ☆74Updated 2 years ago
- 随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速…☆306Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 3 years ago
- Derfei / Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-CooperationThe code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"☆69Updated 5 years ago
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Updated 5 years ago
- implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing☆60Updated 2 years ago
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆19Updated 4 years ago