ddayzzz / federated-metaLinks
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
☆77Updated 5 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:
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆161Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- Code and data accompanying the FedGen paper☆252Updated 11 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆71Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆301Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆118Updated 4 years ago
- ☆161Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆78Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 5 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆221Updated 4 years ago
- ☆79Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆71Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆131Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- ☆32Updated 3 years ago
- ☆76Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆88Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 9 months ago
- ☆178Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆113Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago