shams-sam / Federated2FogLinks
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
☆16Updated 3 years ago
Alternatives and similar repositories for Federated2Fog
Users that are interested in Federated2Fog are comparing it to the libraries listed below
Sorting:
- ☆10Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆14Updated last year
- Simulation code for Federated Learning with Over-the-Air Computation.☆11Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- ☆16Updated 2 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- Federated Learning package☆21Updated 3 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆28Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- ☆25Updated last year
- 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
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Updated 3 years ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆17Updated last year
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆19Updated last year
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- ☆13Updated last year
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Updated last year
- ☆30Updated 3 years ago
- ☆11Updated 4 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆6Updated 3 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆26Updated 6 months ago
- ☆17Updated 5 years ago
- Simulation Codes for “Relay-Assisted Cooperative Federated Learning”☆13Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago