paritybit-ai / XFL
An Efficient and Easy-to-use Federated Learning Framework.
☆45Updated 10 months ago
Alternatives and similar repositories for XFL:
Users that are interested in XFL are comparing it to the libraries listed below
- The privacy computing framework based on MPC technology provides various commonly used algorithms.☆18Updated 8 months ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆114Updated last year
- FedAI 社区中文文档☆131Updated 8 months ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.☆95Updated 4 months ago
- Private set intersection implemented in Python☆100Updated 2 years ago
- 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.☆72Updated 3 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- vertical federated learning demo with crypten☆46Updated 3 years ago
- A tree-based federated learning system (MLSys 2023)☆145Updated last year
- Interconnection Protocol☆15Updated 2 months ago
- ☆41Updated 8 months ago
- Solution for deploying and managing end-to-end federated learning workflows☆53Updated this week
- FLEX (Federated Learning EXchange,FLEX) protocol is a set of standardized federal learning agreements designed by Tongdun AI Research Gro…☆54Updated last year
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆30Updated 3 years ago
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆241Updated 2 weeks ago
- Federated k-means clustering algorithm implementation and proof of concept.☆27Updated 3 years ago
- Antchain-MPC is a library of MPC (Multi-Parties Computation)☆57Updated last year
- ☆43Updated 3 years ago
- Federated gradient boosted decision tree learning☆69Updated last year
- ☆36Updated 3 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆22Updated 3 years ago
- ☆55Updated 11 months ago
- Paper Notes in MPC with Applications to PPML☆64Updated 9 months ago
- ☆80Updated 4 years ago
- ☆111Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- ☆19Updated 4 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago