langnatalie / JoPEQ
PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ICASSP 2023, IEEE ISIT 2022)
☆17Updated last year
Alternatives and similar repositories for JoPEQ:
Users that are interested in JoPEQ are comparing it to the libraries listed below
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆44Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- ☆30Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Active Client Selection for Federated Learning☆45Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- demo☆20Updated 3 years ago
- 完全去中心化联邦学习☆26Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆84Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago
- ☆28Updated 2 years ago
- This repository implements FEDL using pytorch☆53Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- ☆12Updated 4 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 4 months ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated last year
- DeceFL: A Principled Decentralized Federated Learning Framework☆27Updated 2 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- ☆54Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 3 months ago
- ☆23Updated 3 years ago
- ☆11Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago