vaseline555 / Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
☆439Updated last year
Alternatives and similar repositories for Federated-Learning-in-PyTorch
Users that are interested in Federated-Learning-in-PyTorch are comparing it to the libraries listed below
Sorting:
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆683Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆387Updated 6 months ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆595Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆588Updated this week
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 9 months ago
- Code and data accompanying the FedGen paper☆253Updated 6 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆295Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆279Updated 2 years ago
- Personalized federated learning codebase for research☆389Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆766Updated 9 months ago
- PyTorch Federated Learning (easy to use and extend)☆255Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated last month
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆173Updated 4 years ago
- Implement FedAvg algorithm based on Tensorflow☆250Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆213Updated 4 years ago
- An easy-to-use federated learning platform☆298Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,345Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆159Updated 3 weeks ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆694Updated 6 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated last year
- A simulation framework for Federated Learning written in PyTorch☆206Updated 3 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆252Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Leaf: A Benchmark for Federated Settings☆882Updated 2 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆188Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 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☆166Updated 2 years ago