LabeliaLabs / distributed-learning-contributivity
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
☆57Updated last year
Related projects ⓘ
Alternatives and complementary repositories for distributed-learning-contributivity
- Python wrappers to interact with a Substra backend☆26Updated last month
- Low-level Python library used to interact with a Substra network☆271Updated last month
- Documentation of the Substra software☆21Updated last month
- 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
- A high-level federated learning Python library used to run complex federated learning experiments at scale on a Substra network☆57Updated last month
- Frontend of the Substra software☆39Updated this week
- End to end tests for the Substra software☆25Updated 2 weeks ago
- Basic material and content to give a quick overview of Substra Foundation☆36Updated 4 years ago
- Backend of the Substra software☆57Updated 3 weeks ago
- Chaincode for the Substra platform☆24Updated 2 years ago
- DEPRECATED - Shared UI component library☆14Updated 4 years ago
- Orchestrates the tasks in a Substra network☆17Updated this week
- FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.☆143Updated this week
- Privacy Preserving Vertical Federated Learning☆214Updated last year
- Référentiel d'évaluation data science responsable et de confiance☆71Updated 2 months ago
- A curated list of Federated Learning papers/articles and recent advancements.☆83Updated last year
- A collaborative learning framework for empowering biomedical research☆38Updated this week
- PriMIA: Privacy-preserving Medical Image Analysis☆129Updated last year
- Federated Learning Utilities and Tools for Experimentation☆185Updated 10 months ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Updated 3 months ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆67Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆140Updated 5 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆231Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆70Updated 3 years ago
- Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models☆125Updated 6 months ago
- A large labelled image dataset for benchmarking in federated learning☆91Updated 8 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆154Updated 2 years ago
- Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020☆195Updated 3 years ago