zhuangdizhu / FedGenLinks
Code and data accompanying the FedGen paper
☆251Updated 11 months ago
Alternatives and similar repositories for FedGen
Users that are interested in FedGen are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆147Updated 3 years ago
- ☆178Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆221Updated 4 years ago
- ☆161Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆161Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆301Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆269Updated 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☆131Updated 2 years ago
- ☆79Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 5 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆88Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Accenture Labs Federated Learning☆104Updated last year
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆190Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆71Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆173Updated 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
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆141Updated 10 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 9 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago