weimingwill / EasyFL
An easy-to-use federated learning platform
☆296Updated last year
Related projects ⓘ
Alternatives and complementary repositories for EasyFL
- Personalized federated learning codebase for research☆355Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆563Updated 8 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆263Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆157Updated 9 months ago
- Code and data accompanying the FedGen paper☆239Updated last week
- Benchmark of federated learning. Dedicated to the community. 🤗☆497Updated this week
- ☆174Updated last year
- PyTorch Federated Learning (easy to use and extend)☆220Updated 10 months ago
- On the Convergence of FedAvg on Non-IID Data☆250Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆284Updated last year
- Overview of Federal Learning☆284Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆733Updated 2 months ago
- Implement FedAvg algorithm based on Tensorflow☆235Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 3 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆289Updated 2 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆662Updated 2 weeks ago
- Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆106Updated 3 weeks ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆343Updated 2 weeks ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆188Updated 6 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆122Updated 4 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆155Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆206Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆642Updated last year
- ☆166Updated 2 weeks ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆138Updated 2 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆409Updated 11 months ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆231Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆110Updated 6 months ago
- 联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes☆148Updated this week