WonJoon-Yun / Non-IID-Dataset-Generator-DirichletLinks
☆14Updated 3 years ago
Alternatives and similar repositories for Non-IID-Dataset-Generator-Dirichlet
Users that are interested in Non-IID-Dataset-Generator-Dirichlet are comparing it to the libraries listed below
Sorting:
- Accenture Labs Federated Learning☆104Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆86Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆219Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- ☆162Updated 2 years ago
- ☆177Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 4 months ago
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Releasing the source code Version1.☆168Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆255Updated 4 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆299Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago