katsura-jp / fedavg.pytorchLinks
A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
☆90Updated last year
Alternatives and similar repositories for fedavg.pytorch
Users that are interested in fedavg.pytorch are comparing it to the libraries listed below
Sorting:
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- ☆183Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆148Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆77Updated 3 weeks ago
- Code and data accompanying the FedGen paper☆258Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆299Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆274Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆168Updated last year
- Releasing the source code Version1.☆178Updated 4 years ago
- ☆27Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- fully ready experiments☆38Updated 3 years ago