MMorafah / FLISLinks
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
☆40Updated 3 years ago
Alternatives and similar repositories for FLIS
Users that are interested in FLIS are comparing it to the libraries listed below
Sorting:
- ☆33Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆21Updated 10 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- Similarity Guided Model Aggregation for Federated Learning☆26Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 4 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.☆54Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Updated 2 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆35Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- Official Code for PACFL AAAI 2023☆44Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Asynchronous Federated Learning☆20Updated 4 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆71Updated 3 years ago