KarhouTam / Per-FedAvgLinks
PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
☆54Updated 2 years ago
Alternatives and similar repositories for Per-FedAvg
Users that are interested in Per-FedAvg are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆65Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆153Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆135Updated 6 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- ☆77Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆74Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 5 months ago
- Accenture Labs Federated Learning☆102Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- ☆30Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆83Updated 10 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆17Updated 3 years ago
- fully ready experiments☆39Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last month
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆107Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 7 months ago