PengchaoHan / EasyFLLinks
Easy-to-Use Federated Learning Simulator in Pytorch
☆15Updated 4 years ago
Alternatives and similar repositories for EasyFL
Users that are interested in EasyFL are comparing it to the libraries listed below
Sorting:
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆270Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- Implement FedAvg algorithm based on Tensorflow☆263Updated 5 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 11 months ago
- ☆96Updated 4 years ago
- ☆181Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆139Updated 5 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆180Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 7 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 5 years ago
- ☆32Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- fully ready experiments☆38Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- ☆13Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- Releasing the source code Version1.☆173Updated 4 years ago
- Federated learning via stochastic gradient descent☆35Updated 5 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago