Yoruko-Tang / FedCorLinks
Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
☆45Updated 2 years ago
Alternatives and similar repositories for FedCor
Users that are interested in FedCor are comparing it to the libraries listed below
Sorting:
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- ☆30Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Federated learning client selection☆18Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆40Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆30Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 3 years ago
- 完全去中心化联邦学习☆28Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- Accenture Labs Federated Learning☆103Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 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
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 9 months ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆129Updated 5 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- ☆25Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago