ki-ljl / FedProx-PyTorch
PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
☆106Updated 2 years ago
Alternatives and similar repositories for FedProx-PyTorch:
Users that are interested in FedProx-PyTorch are comparing it to the libraries listed below
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆72Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 8 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆129Updated 5 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆87Updated last year
- ☆175Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆248Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆148Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆148Updated 3 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆170Updated 4 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆147Updated last week
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Releasing the source code Version1.☆153Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆278Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- ☆77Updated 3 years ago
- Accenture Labs Federated Learning☆99Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆43Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆52Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆251Updated last year
- Code and data accompanying the FedGen paper☆252Updated 5 months ago
- ☆74Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago