felisat / clustered-federated-learning
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
☆160Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for clustered-federated-learning
- Codebase for An Efficient Framework for Clustered Federated Learning.☆105Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆207Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 3 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆115Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆154Updated 2 years ago
- Accenture Labs Federated Learning☆93Updated 8 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆188Updated 6 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 3 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆149Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆254Updated last year
- ☆174Updated last year
- Code and data accompanying the FedGen paper☆239Updated 3 weeks ago
- ☆68Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆289Updated 2 years ago
- Releasing the source code Version1.☆129Updated 3 years ago
- ☆155Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆157Updated 9 months ago
- ☆30Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆115Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆69Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆99Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆71Updated 4 years ago
- ☆35Updated 3 weeks ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆126Updated 5 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆109Updated last week