mc2-project / federated-xgboostView external linksLinks
Federated gradient boosted decision tree learning
☆68Apr 17, 2023Updated 2 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:
- Federated Learning on XGBoost☆46Oct 13, 2019Updated 6 years ago
- Secure collaborative training and inference for XGBoost.☆107Oct 25, 2022Updated 3 years ago
- A Platform for Secure Analytics and Machine Learning☆305Mar 29, 2023Updated 2 years ago
- ☆19Jan 8, 2021Updated 5 years ago
- Cerebro: A platform for Secure Coopetitive Learning☆24Sep 9, 2021Updated 4 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- SecretFlow-Serving is a serving system for privacy-preserving machine learning models.☆15Jan 22, 2026Updated 3 weeks ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- data synthesis tool to simplify privacy preservation☆15Feb 14, 2023Updated 2 years ago
- init☆13Dec 4, 2024Updated last year
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆13Aug 22, 2022Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 5 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆32Mar 8, 2025Updated 11 months ago
- A tree-based federated learning system (MLSys 2023)☆152Jan 20, 2025Updated last year
- A Simulator for Privacy Preserving Federated Learning☆96Jan 12, 2021Updated 5 years ago
- ☆16Apr 16, 2019Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Nov 28, 2022Updated 3 years ago
- Pytorch implementation of backdoor unlearning.☆21Jun 8, 2022Updated 3 years ago
- An encrypted data analytics platform☆185Mar 29, 2023Updated 2 years ago
- Minimal examples to use libsnark.☆21Aug 27, 2020Updated 5 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)☆22Nov 14, 2020Updated 5 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆24Jun 14, 2024Updated last year
- Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers☆92Apr 23, 2022Updated 3 years ago
- Machine Unlearning for Random Forests☆22Jun 17, 2024Updated last year
- ☆27Oct 17, 2022Updated 3 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Oct 13, 2020Updated 5 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Oct 19, 2023Updated 2 years ago
- R package to plot decision curves☆28Oct 16, 2018Updated 7 years ago
- ☆18Feb 7, 2020Updated 6 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆53Sep 13, 2022Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Aug 4, 2019Updated 6 years ago
- ☆27Nov 20, 2023Updated 2 years ago
- Privacy Budget Orchestration in Machine Learning Workloads (OSDI '21)☆26Oct 20, 2023Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Apr 17, 2023Updated 2 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Oct 25, 2021Updated 4 years ago