VectorInstitute / FL4Health
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
☆29Updated this week
Related projects ⓘ
Alternatives and complementary repositories for FL4Health
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆16Updated last week
- ☆103Updated last year
- Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to be…☆204Updated 5 months ago
- [ICLR 2024] Generating DP Synthetic Data without Training☆77Updated 7 months ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆28Updated 4 months ago
- ☆15Updated 9 months ago
- A large labelled image dataset for benchmarking in federated learning☆91Updated 8 months ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆67Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- Simple implementation of FedAvg, a Federated Learning algorithm.☆20Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆70Updated 3 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆63Updated 5 months ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆13Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- ☆40Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- ☆79Updated last year
- Implementation of FedBary☆10Updated 4 months ago
- A collaborative learning framework for empowering biomedical research☆38Updated this week
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆15Updated last year
- Personalized Federated Learning under Mixture of Distributions☆16Updated 10 months ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated last year
- Simple simulation of federated learning (FedAvg) using Flower framework☆22Updated 2 years ago
- ☆68Updated 2 years ago
- ☆37Updated 2 weeks ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆29Updated 11 months ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆16Updated 2 years ago