weimingwill / EasyFL
An easy-to-use federated learning platform
☆298Updated last year
Alternatives and similar repositories for EasyFL:
Users that are interested in EasyFL are comparing it to the libraries listed below
- Personalized federated learning codebase for research☆383Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Code and data accompanying the FedGen paper☆252Updated 5 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆278Updated 2 years ago
- ☆175Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆590Updated last year
- PyTorch Federated Learning (easy to use and extend)☆251Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆764Updated 8 months ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆250Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆235Updated 8 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆129Updated 5 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆379Updated 5 months ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆568Updated 2 weeks ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆149Updated 3 months ago
- Overview of Federal Learning☆290Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆150Updated this week
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆294Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆437Updated last year
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆692Updated 5 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆213Updated 4 years ago
- ☆172Updated 5 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☆167Updated 2 weeks ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆190Updated last week
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆171Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆150Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago