DeltaML / federated-learning-poc
Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.
☆14Updated 2 years ago
Alternatives and similar repositories for federated-learning-poc:
Users that are interested in federated-learning-poc are comparing it to the libraries listed below
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 5 years ago
- ☆31Updated 6 years ago
- Related material on Federated Learning☆26Updated 5 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆32Updated 2 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Updated 5 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- A ledger for private and secure peer to peer machine learning☆108Updated last year
- ☆14Updated 7 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆29Updated last week
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- ☆73Updated last year
- ☆23Updated last year
- tf implementation of federated learning☆41Updated 5 years ago
- Attentive Federated Learning for Private NLM☆61Updated 9 months ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 9 months ago
- An implementation for a federated learning environment in python using Keras☆24Updated 5 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Federated Principal Component Analysis Revisited!☆42Updated 3 years ago
- A compiled list of resources and materials for PPML☆10Updated last week
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆13Updated 9 months ago
- ☆12Updated 5 years ago
- ☆19Updated 4 years ago
- Federated Learning package☆20Updated 3 years ago
- ☆10Updated last year