zhuangdizhu / FedGen
Code and data accompanying the FedGen paper
☆250Updated 4 months ago
Alternatives and similar repositories for FedGen:
Users that are interested in FedGen are comparing it to the libraries listed below
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 7 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆209Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- ☆156Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆165Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆270Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 10 months ago
- ☆174Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆293Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆259Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆141Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆123Updated 3 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆78Updated 7 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆118Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago
- ☆72Updated 3 years ago
- Accenture Labs Federated Learning☆97Updated 11 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆112Updated 4 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆185Updated 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☆158Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆294Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆333Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆66Updated 2 years ago
- ☆172Updated 4 months ago