[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"
☆36Jun 16, 2023Updated 2 years ago
Alternatives and similar repositories for head-network-distillation
Users that are interested in head-network-distillation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL …☆25Jun 16, 2023Updated 2 years ago
- 2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stron…☆23May 31, 2018Updated 8 years ago
- Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"☆53Sep 5, 2021Updated 4 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆27Jan 18, 2021Updated 5 years ago
- Pytorch implementation of EENets☆21Sep 9, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆29Jun 22, 2020Updated 5 years ago
- [WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"☆37Jun 16, 2023Updated 2 years ago
- Related paper: Online Scheduling for Energy Minimization in Wireless Powered Mobile Edge Computing☆10Jan 5, 2023Updated 3 years ago
- Source code for the paper "Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks", this…☆13Aug 22, 2024Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆17Oct 18, 2022Updated 3 years ago
- [IEEE TMC] Official Repository for the paper on Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mo…☆23Jun 7, 2025Updated last year
- Research project on Resource-elastic tasks for edge cloud computing☆12Aug 12, 2021Updated 4 years ago
- ☆16Oct 3, 2023Updated 2 years ago
- EEEA-Net: An Early Exit Evolutionary Neural Architecture Search☆18Aug 6, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Jul 19, 2020Updated 5 years ago
- Auto-Split: A General Framework of Collaborative Edge-Cloud AI☆14Aug 31, 2021Updated 4 years ago
- Pytorch-based early exit network inspired by branchynet☆36May 13, 2025Updated 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☆14May 31, 2021Updated 5 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Jul 4, 2019Updated 6 years ago
- A Mobile edge computing server placement algorithm, written from scratch for 5g server placement depending upon various KPIs across a ar…☆12Sep 14, 2022Updated 3 years ago
- Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2☆14May 9, 2019Updated 7 years ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆15Jul 17, 2023Updated 2 years ago
- source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…☆11Jan 26, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆119Jan 2, 2019Updated 7 years ago
- Edge computing☆32Apr 1, 2019Updated 7 years ago
- ☆42Oct 12, 2020Updated 5 years ago
- Implementation of PEFT (Predict Earliest Finish Time) DAG Scheduling Algorithm in Python☆13Apr 13, 2026Updated 2 months ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆25Aug 24, 2025Updated 9 months ago
- ☆32Sep 15, 2022Updated 3 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- Benchmark for Edge Computing Platforms☆22Oct 15, 2022Updated 3 years ago
- Novel Vehicular Edge and Fog enabled Computation offloading framework☆16Sep 7, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An implementation of neural architecture search using the REINFORCE algorithm. we use a re-current network to generate the model descript…☆11Jun 13, 2020Updated 6 years ago
- ☆21May 7, 2021Updated 5 years ago
- Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"☆20Aug 22, 2025Updated 9 months ago
- (NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"☆19Dec 18, 2022Updated 3 years ago
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆12Jul 11, 2024Updated last year
- Official implementation of the paper "MTL-Split: Multi-Task Learning for Edge Devices using Split Computing" accepted @ DAC 2024.☆11Dec 3, 2024Updated last year
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Jul 7, 2020Updated 5 years ago