alpemreacar / FedDynLinks
☆77Updated 3 years ago
Alternatives and similar repositories for FedDyn
Users that are interested in FedDyn are comparing it to the libraries listed below
Sorting:
- 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☆154Updated 3 years ago
- ☆160Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 8 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆69Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆41Updated 8 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆175Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Accenture Labs Federated Learning☆104Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆239Updated 11 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 10 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆283Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 3 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆168Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- ☆75Updated 4 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆93Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- ☆54Updated 4 years ago