cyqclark / fedlearn-algoView external linksLinks
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
Alternatives and similar repositories for fedlearn-algo
Users that are interested in fedlearn-algo are comparing it to the libraries listed below
Sorting:
- 联邦学习系统,包括常用算法和通用训练推理系统框架 | Fedlearn Main System, Including Algorithms and Frameworks for Training / Inference.☆77Jan 13, 2022Updated 4 years ago
- Federated Learning on XGBoost☆46Oct 13, 2019Updated 6 years ago
- Sketched SGD☆28Jul 4, 2020Updated 5 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆32Mar 8, 2025Updated 11 months ago
- ☆19Oct 24, 2021Updated 4 years ago
- Materials about Privacy-Preserving Machine Learning☆263Feb 2, 2026Updated last week
- Automated machine learning: Review of the state-of-the-art and opportunities for healthcare☆41Oct 9, 2020Updated 5 years ago
- Secure collaborative training and inference for XGBoost.☆107Oct 25, 2022Updated 3 years ago
- A tree-based federated learning system (MLSys 2023)☆152Jan 20, 2025Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Oct 19, 2023Updated 2 years ago
- vertical federated learning demo with crypten☆48Sep 5, 2021Updated 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
- Neural Network Models for Multi-label learning☆17Oct 13, 2020Updated 5 years ago
- Multi-party Private Set Intersections & Threshold Set Intersections☆14Apr 2, 2021Updated 4 years ago
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 3 years ago
- ☆26Apr 3, 2020Updated 5 years ago
- [TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data☆15Jul 20, 2022Updated 3 years ago
- Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN☆17Jan 5, 2022Updated 4 years ago
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆35Jun 10, 2021Updated 4 years ago
- reveal the vulnerabilities of SplitNN☆31Jun 16, 2022Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- ☆442Jun 19, 2024Updated last year
- ☆15Oct 5, 2024Updated last year
- ☆40Sep 25, 2023Updated 2 years ago
- Federated gradient boosted decision tree learning☆68Apr 17, 2023Updated 2 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Dec 5, 2021Updated 4 years ago
- 📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.S…☆21Dec 5, 2023Updated 2 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41May 21, 2021Updated 4 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆18Sep 10, 2025Updated 5 months ago
- 自己的个人毕设,联邦学习相关,主要是多方安全计算中秘密分享的一种算法实现,以完成不需要第三方的安全隐私传输。(An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Apr 10, 2022Updated 3 years ago
- Code samples that I've written about on bigishdata.com☆17Dec 7, 2022Updated 3 years ago
- An Efficient and Easy-to-use Federated Learning Framework.☆43Jan 23, 2026Updated 3 weeks ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆43Feb 7, 2023Updated 3 years ago
- spark,NLP,新词发现,自然语言处理☆23Mar 16, 2018Updated 7 years ago
- Privacy-preserving XGBoost Inference☆50Apr 20, 2023Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆79Aug 15, 2020Updated 5 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Jun 14, 2023Updated 2 years ago