ki-ljl / Scaffold-Federated-LearningLinks
PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
☆68Updated 3 years ago
Alternatives and similar repositories for Scaffold-Federated-Learning
Users that are interested in Scaffold-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆69Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- ☆77Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆93Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆108Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆137Updated 8 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆69Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- ☆175Updated 2 years ago
- Accenture Labs Federated Learning☆104Updated last year
- Code and data accompanying the FedGen paper☆252Updated 8 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆65Updated 7 months ago
- ☆75Updated 4 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆76Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- fully ready experiments☆39Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆53Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 8 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆283Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆76Updated 4 years ago