WwZzz / easyFLLinks
An experimental platform for federated learning.
β605Updated 4 months ago
Alternatives and similar repositories for easyFL
Users that are interested in easyFL are comparing it to the libraries listed below
Sorting:
- Benchmark of federated learning. Dedicated to the community. π€β646Updated 2 weeks ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)β611Updated last year
- PyTorch Federated Learning (easy to use and extend)β283Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.β803Updated last week
- Overview of Federal Learningβ293Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflowβ262Updated 4 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challengesβ163Updated 10 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.β200Updated last month
- An easy-to-use federated learning platformβ299Updated 2 years ago
- Personalized federated learning codebase for researchβ401Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakβ¦β407Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.β153Updated last year
- β874Updated last year
- Implementation of dp-based federated learning framework using PyTorchβ311Updated 2 years ago
- β178Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Dataβ269Updated 2 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)β699Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"β113Updated 3 months ago
- β76Updated last year
- θι¦ε¦δΉ 樑εεζ‘ζΆοΌζ―ζεη±»FLγA universal federated learning framework, free to switch thread and process modesβ174Updated 4 months ago
- A PyTorch Implementation of Federated Learningβ1,466Updated last year
- θι¦ε¦δΉβ1,129Updated 2 years ago
- Code and data accompanying the FedGen paperβ254Updated last year
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.β718Updated last year
- Paper notes and code for differentially private machine learningβ359Updated last month
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017β87Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraintsβ177Updated 4 years ago
- Master Federated Learning in 2 HoursβRun It on Your PC!β1,960Updated last month
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learningβ142Updated 11 months ago
- Model-Contrastive Federated Learning (CVPR 2021)β291Updated 3 years ago