morningD / FlexCFL
FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
☆48Updated 2 years ago
Alternatives and similar repositories for FlexCFL:
Users that are interested in FlexCFL are comparing it to the libraries listed below
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- fully ready experiments☆36Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆109Updated 4 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
- ☆31Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 6 months ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆163Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- ☆23Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆140Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆38Updated 3 months ago
- ☆72Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆60Updated 2 months ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆74Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆46Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Accenture Labs Federated Learning☆96Updated 11 months ago
- Official Code for PACFL AAAI 2023☆39Updated last year
- ☆54Updated 3 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago