zj-jayzhang / FedAvgLinks
This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
☆30Updated 4 years ago
Alternatives and similar repositories for FedAvg
Users that are interested in FedAvg are comparing it to the libraries listed below
Sorting:
- Releasing the source code Version1.☆166Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- ☆31Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 9 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Accenture Labs Federated Learning☆104Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆132Updated 5 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 7 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Active Client Selection for Federated Learning☆48Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- fully ready experiments☆38Updated 3 years ago
- 完全去中心化联邦学习☆29Updated last year
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 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☆171Updated 2 years ago