Raymw / Federated-XGBoostLinks
Federated Learning on XGBoost
☆46Updated 5 years ago
Alternatives and similar repositories for Federated-XGBoost
Users that are interested in Federated-XGBoost are comparing it to the libraries listed below
Sorting:
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆31Updated 6 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.☆61Updated 4 years ago
- ☆169Updated 7 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- ☆72Updated 2 years ago
- A Simulator for Privacy Preserving Federated Learning☆95Updated 4 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- ☆26Updated 5 years ago
- ☆46Updated last year
- Attentive Federated Learning for Private NLM☆60Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 5 years ago
- ☆19Updated 4 years ago
- ☆19Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆48Updated last year
- Code for NIPS'2017 paper☆51Updated 5 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Updated 3 years ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆71Updated 4 years ago
- ☆110Updated 4 years ago
- Federated Learning mini-framework with Keras☆35Updated 6 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago