kclip / FL-SNNLinks
Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
☆15Updated 4 years ago
Alternatives and similar repositories for FL-SNN
Users that are interested in FL-SNN are comparing it to the libraries listed below
Sorting:
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 5 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- We will implement this framework.☆32Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 2 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Updated 3 years ago
- ☆16Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- ☆17Updated 5 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Updated last year
- Federated Learning package☆21Updated 4 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆69Updated 3 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆28Updated 5 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Updated 6 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- ☆10Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year