TUM-AIMED / hyfedLinks
The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.
☆18Updated 3 years ago
Alternatives and similar repositories for hyfed
Users that are interested in hyfed are comparing it to the libraries listed below
Sorting:
- ☆19Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆30Updated 3 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- ☆23Updated 2 years ago
- ☆27Updated 2 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- ☆13Updated 3 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 3 years ago
- Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020☆195Updated 4 years ago
- ☆33Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 5 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 6 months ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- ☆15Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- federated-learning☆82Updated 2 years ago
- Gradient-Leakage Resilient Federated Learning☆14Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- ☆45Updated last year
- A simplified library for decentralized, privacy preserving machine learning☆349Updated 9 months ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆31Updated 2 years ago