shams-sam / Federated2Fog
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
☆15Updated 3 years ago
Alternatives and similar repositories for Federated2Fog:
Users that are interested in Federated2Fog are comparing it to the libraries listed below
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 11 months ago
- ☆10Updated last year
- ☆23Updated 3 years ago
- Federated Learning over Wireless Networks☆45Updated 3 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ☆23Updated last year
- This repository implements FEDL using pytorch☆52Updated 4 years ago
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆10Updated 4 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆18Updated 3 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆25Updated 2 years ago
- Simulation code for Federated Learning with Over-the-Air Computation.☆11Updated 4 years ago
- ☆17Updated last year
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆5Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year
- ☆31Updated 2 years ago
- ☆17Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆16Updated last year
- ☆11Updated last year
- Federated Learning package☆20Updated 3 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 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
- ☆11Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆17Updated last year
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 2 years ago
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆20Updated last year