GalaxyLearning / GFLLinks
Galaxy Federated Learning Framework (星际联邦学习框架)
☆255Updated 3 years ago
Alternatives and similar repositories for GFL
Users that are interested in GFL are comparing it to the libraries listed below
Sorting:
- ☆109Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- ☆201Updated last year
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆315Updated last month
- Implement FedAvg algorithm based on Tensorflow☆266Updated 5 years ago
- ☆73Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆386Updated 11 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Updated 3 years ago
- Overview of Federal Learning☆296Updated 2 years ago
- ☆183Updated 2 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Updated 4 years ago
- Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.☆193Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- An easy-to-use federated learning platform☆301Updated 2 years ago
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- Federated Learning Blockchain Web Demo☆52Updated 3 years ago
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆633Updated 4 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆719Updated 2 years ago
- ☆180Updated last year
- 联邦学习分布式训练MNist数据集☆63Updated 6 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆612Updated last year
- Plato: A Research Framework for Federated Learning☆393Updated this week
- Code and data accompanying the FedGen paper☆258Updated last year
- vertical federated learning paper lists☆77Updated 5 years ago