OpenMined / PyVertical
Privacy Preserving Vertical Federated Learning
☆217Updated last year
Alternatives and similar repositories for PyVertical:
Users that are interested in PyVertical are comparing it to the libraries listed below
- Implementation of dp-based federated learning framework using PyTorch☆292Updated last year
- Simulate a federated setting and run differentially private federated learning.☆366Updated 5 months ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- ☆170Updated 3 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 6 months ago
- On the Convergence of FedAvg on Non-IID Data☆257Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆285Updated 6 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆246Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 8 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆162Updated 3 years ago
- Differential private machine learning☆186Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Accenture Labs Federated Learning☆96Updated 10 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- ☆167Updated 7 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆105Updated 3 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆501Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆332Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆109Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆269Updated last year
- A curated list of resources dedicated to federated learning.☆102Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 years ago
- ☆80Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆156Updated last year
- Code and data accompanying the FedGen paper☆245Updated 2 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆175Updated 3 years ago