kclip / FL-SNN
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
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 11 months ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 4 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆15Updated 3 years ago
- ☆16Updated 4 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆18Updated 3 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- ☆17Updated last year
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆12Updated last year
- Federated Learning package☆20Updated 3 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆24Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- This repository implements FEDL using pytorch☆52Updated 4 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated last year
- ☆10Updated last year
- Asynchronous Federated Learning☆18Updated 3 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆12Updated last year
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- inherit from https://github.com/iqua/flsim☆9Updated 4 years ago
- Federated Learning over Wireless Networks☆45Updated 3 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆38Updated 10 months ago
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 2 years ago
- ☆10Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year