SMILELab-FL / FedLabLinks
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
β815Updated 2 months ago
Alternatives and similar repositories for FedLab
Users that are interested in FedLab are comparing it to the libraries listed below
Sorting:
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)β611Updated last year
- Benchmark of federated learning. Dedicated to the community. π€β666Updated last week
- Federated Optimization in Heterogeneous Networks (MLSys '20)β712Updated 2 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.β727Updated 2 months ago
- A PyTorch Implementation of Federated Learningβ1,496Updated last year
- θι¦ε¦δΉβ1,146Updated 2 years ago
- Master Federated Learning in 2 HoursβRun It on Your PC!β2,040Updated last month
- Overview of Federal Learningβ293Updated 2 years ago
- Personalized federated learning codebase for researchβ407Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)β296Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.β153Updated last year
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyondβ2,054Updated last year
- Plato: A Research Framework for Federated Learningβ390Updated this week
- Implement FedAvg algorithm based on Tensorflowβ266Updated 5 years ago
- β886Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Dataβ1,418Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakβ¦β417Updated last year
- Handy PyTorch implementation of Federated Learning (for your painless research)β462Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Dataβ274Updated 3 years ago
- An easy-to-use federated learning platformβ301Updated 2 years ago
- Leaf: A Benchmark for Federated Settingsβ896Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)β306Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.β221Updated last month
- β182Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challengesβ168Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.β226Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraintsβ184Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorchβ314Updated 2 weeks ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representationsβ244Updated last year
- An experimental platform for federated learning.β615Updated 7 months ago