KarhouTam / FL-benchLinks
Benchmark of federated learning. Dedicated to the community. π€
β640Updated this week
Alternatives and similar repositories for FL-bench
Users that are interested in FL-bench are comparing it to the libraries listed below
Sorting:
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)β609Updated last year
- PyTorch Federated Learning (easy to use and extend)β279Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.β797Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakβ¦β404Updated 11 months ago
- Implement FedAvg algorithm based on Tensorflowβ260Updated 4 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.β198Updated last month
- Handy PyTorch implementation of Federated Learning (for your painless research)β454Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challengesβ159Updated 9 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)β696Updated 2 years ago
- β76Updated 11 months ago
- Master Federated Learning in 2 HoursβRun It on Your PC!β1,934Updated 2 weeks ago
- θι¦ε¦δΉβ1,119Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Dataβ269Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorchβ308Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)β290Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.β153Updated last year
- Personalized federated learning codebase for researchβ396Updated 2 years ago
- An easy-to-use federated learning platformβ298Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).β112Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraintsβ177Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorchβ131Updated 2 years ago
- β178Updated 2 years ago
- β868Updated last year
- β20Updated 2 years ago
- Code and data accompanying the FedGen paperβ252Updated 11 months ago
- Overview of Federal Learningβ293Updated 2 years ago
- Accenture Labs Federated Learningβ105Updated last year
- A PyTorch Implementation of Federated Learningβ1,453Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learningβ141Updated 11 months ago
- Releasing the source code Version1.β171Updated 4 years ago