Privacy Preserving Vertical Federated Learning
☆222Jun 1, 2023Updated 2 years ago
Alternatives and similar repositories for PyVertical
Users that are interested in PyVertical are comparing it to the libraries listed below
Sorting:
- vertical federated learning paper lists☆77Jan 5, 2021Updated 5 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Sep 2, 2020Updated 5 years ago
- A demo of vertical federated learning on simple datasets☆23Nov 21, 2020Updated 5 years ago
- vertical federated learning demo with crypten☆48Sep 5, 2021Updated 4 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Jun 14, 2023Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- Federated Deep Learning in PaddlePaddle☆517Jul 26, 2023Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆900Mar 24, 2023Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆742Jun 10, 2025Updated 8 months ago
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 5 years ago
- ☆12Nov 26, 2019Updated 6 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆526Sep 17, 2025Updated 5 months ago
- ☆21Oct 25, 2021Updated 4 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,002Sep 3, 2022Updated 3 years ago
- A tree-based federated learning system (MLSys 2023)☆152Jan 20, 2025Updated last year
- A Simulator for Privacy Preserving Federated Learning☆95Jan 12, 2021Updated 5 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Sep 14, 2020Updated 5 years ago
- Diffprivlib: The IBM Differential Privacy Library☆904Sep 17, 2025Updated 5 months ago
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,004Oct 28, 2025Updated 3 months ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Jul 29, 2025Updated 6 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆267Aug 26, 2024Updated last year
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- Training PyTorch models with differential privacy☆1,907Updated this week
- A framework for Privacy Preserving Machine Learning☆1,636Nov 23, 2024Updated last year
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆481Aug 1, 2023Updated 2 years ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆150Feb 17, 2026Updated last week
- resources about federated learning and privacy in machine learning☆545Jun 26, 2024Updated last year
- Investigating Split Learning and Federate Learning☆87May 25, 2020Updated 5 years ago
- Simulate a federated setting and run differentially private federated learning.☆386Mar 7, 2025Updated 11 months ago
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆15Jul 2, 2024Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Jun 6, 2020Updated 5 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆116Mar 15, 2021Updated 4 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Feb 26, 2024Updated 2 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,064May 30, 2024Updated last year
- Perform data science on data that remains in someone else's server☆9,853Jul 15, 2025Updated 7 months ago