yoshitomo-matsubara / supervised-compressionLinks
[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"
☆34Updated 2 years ago
Alternatives and similar repositories for supervised-compression
Users that are interested in supervised-compression are comparing it to the libraries listed below
Sorting:
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"☆52Updated 3 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆41Updated last year
- ☆26Updated 4 years ago
- 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
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆28Updated 4 years ago
- Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"☆20Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆19Updated 4 years ago
- ☆12Updated 2 years ago
- Official implementation of the paper "MTL-Split: Multi-Task Learning for Edge Devices using Split Computing" accepted @ DAC 2024.☆10Updated 8 months ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆13Updated last year
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆40Updated 3 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆28Updated 5 years ago
- ☆22Updated 2 years ago
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆40Updated 2 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 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
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆13Updated last year
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆14Updated 2 years ago
- INFOCOM 2024: Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference☆20Updated 9 months ago
- [EMSOFT 2022] Adaptive Edge Offloading for Image Classification Under Rate Limit☆14Updated 2 years ago
- A DNN model partition demo☆31Updated 5 years ago
- ☆12Updated 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…☆20Updated 4 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆13Updated 9 months ago
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆86Updated 2 years ago
- ☆31Updated last year
- ☆15Updated last year