vaseline555 / Federated-Learning-in-PyTorchLinks
Handy PyTorch implementation of Federated Learning (for your painless research)
☆460Updated 2 years ago
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 Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆703Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆270Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆654Updated 2 weeks ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆313Updated 2 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆413Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Personalized federated learning codebase for research☆405Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 8 months ago
- An easy-to-use federated learning platform☆300Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆263Updated 5 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆810Updated last month
- Model-Contrastive Federated Learning (CVPR 2021)☆292Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- ☆182Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆293Updated last year
- ☆177Updated last year
- Releasing the source code Version1.☆173Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 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☆177Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago