owkin / FLamby
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
☆204Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for FLamby
- A high-level federated learning Python library used to run complex federated learning experiments at scale on a Substra network☆57Updated last month
- A collaborative learning framework for empowering biomedical research☆38Updated this week
- Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datas…☆57Updated last year
- Low-level Python library used to interact with a Substra network☆271Updated last month
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆231Updated last year
- A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.☆31Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆70Updated 3 years ago
- PriMIA: Privacy-preserving Medical Image Analysis☆129Updated last year
- ☆103Updated last year
- Privacy Preserving Vertical Federated Learning☆214Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆154Updated 2 years ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆67Updated last year
- Documentation of the Substra software☆21Updated last month
- FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.☆143Updated this week
- A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings☆29Updated this week
- A large labelled image dataset for benchmarking in federated learning☆91Updated 8 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆207Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 3 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆286Updated last year
- Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020☆195Updated 3 years ago
- Federated Learning Utilities and Tools for Experimentation☆185Updated 10 months ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆411Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- Orchestrates the tasks in a Substra network☆17Updated this week
- Accenture Labs Federated Learning☆93Updated 8 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆250Updated 2 months ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆188Updated 6 months ago
- [AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images☆86Updated 2 years ago