Yoruko-Tang / FedCor
Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
☆46Updated 2 years ago
Alternatives and similar repositories for FedCor:
Users that are interested in FedCor are comparing it to the libraries listed below
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Active Client Selection for Federated Learning☆42Updated last year
- Federated learning client selection☆19Updated last year
- ☆31Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆118Updated 4 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆37Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆47Updated 2 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
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated 6 months ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆25Updated 3 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
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 5 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- Releasing the source code Version1.☆143Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- fully ready experiments☆36Updated 2 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆16Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- ☆11Updated last year
- ☆23Updated last year
- Accenture Labs Federated Learning☆96Updated 11 months ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year
- 完全去中心化联邦学习☆23Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆163Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆61Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆158Updated last year