h-shawn / Split-learningLinks
A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.
☆14Updated 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:
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆43Updated 2 years ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆23Updated 2 months ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆21Updated 4 years ago
- A DNN model partition demo☆32Updated 5 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 "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆14Updated 2 months 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
- 云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge☆96Updated 2 years ago
- ☆11Updated 2 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆42Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 2 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆13Updated last year
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆16Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆43Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆48Updated last year
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 4 years ago
- DNN partition edge-cloud co-infer☆11Updated 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
- ☆73Updated 2 years ago
- ☆14Updated 2 years ago
- Federated Reinforcement Learning project☆30Updated 2 years ago
- Publication catalog for research on Federated RL (FRL).☆84Updated 4 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆28Updated 4 years ago
- ☆13Updated 5 years ago
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆35Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated 2 years ago
- ☆37Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆93Updated 3 years ago