rlskit13 / Asynchronous-Federated-Learning-MNIST-Image-ClassifierLinks
Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network
☆10Updated 2 years ago
Alternatives and similar repositories for Asynchronous-Federated-Learning-MNIST-Image-Classifier
Users that are interested in Asynchronous-Federated-Learning-MNIST-Image-Classifier are comparing it to the libraries listed below
Sorting:
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆24Updated 3 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆6Updated 3 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆30Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- 完全去中心化联邦学习☆28Updated last year
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 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
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- ☆23Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆40Updated 2 years ago
- Accenture Labs Federated Learning☆102Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated 2 years ago
- ☆12Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆45Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆29Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 5 months ago
- ☆19Updated last year