ddayzzz / federated-metaLinks
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
☆74Updated 4 years ago
Alternatives and similar repositories for federated-meta
Users that are interested in federated-meta are comparing it to the libraries listed below
Sorting:
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆153Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆83Updated 10 months 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
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 4 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆74Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆107Updated 2 years ago
- ☆77Updated 3 years ago
- ☆30Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆65Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆135Updated 6 months ago
- ☆158Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- Accenture Labs Federated Learning☆102Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆213Updated 4 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆74Updated 4 years ago