Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
☆34Nov 17, 2022Updated 3 years ago
Alternatives and similar repositories for Vertical-Federated-Learning
Users that are interested in Vertical-Federated-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).☆12Sep 20, 2019Updated 7 years ago
- A demo of vertical federated learning on simple datasets☆23Nov 21, 2020Updated 5 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- vertical federated learning paper lists☆77Jan 5, 2021Updated 5 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated last year
- Client/Server framework for encrypted machine learning using homomorphic encryption☆43Oct 1, 2021Updated 5 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Sep 2, 2020Updated 6 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Jun 27, 2023Updated 3 years ago
- Implementation of NIPS2023: Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieva☆11Nov 12, 2024Updated last year
- Secure Aggregation for FL☆39Nov 25, 2023Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Dec 15, 2020Updated 5 years ago
- Privacy Preserving Vertical Federated Learning☆221Jun 1, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆16May 10, 2024Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Jan 15, 2026Updated 8 months ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Jun 9, 2022Updated 4 years ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 7 years ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆14Jul 13, 2024Updated 2 years ago
- 3D NFT Gallery Art☆13Sep 26, 2021Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 years ago
- Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated☆14Jun 3, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆16Jul 2, 2024Updated 2 years ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆24Feb 21, 2025Updated last year
- ☆14Jul 11, 2023Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Aug 4, 2019Updated 7 years ago
- Privacy-preserving machine learning for small molecule data using fully homomorphic encryption.☆13Mar 2, 2026Updated 7 months ago
- vertical federated learning demo with crypten☆48Sep 5, 2021Updated 5 years ago
- 数据脱敏处理☆13Dec 7, 2025Updated 10 months ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Jul 23, 2024Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆22Feb 24, 2026Updated 7 months ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 5 years ago
- Pytorch implementation of backdoor unlearning.☆21Jun 8, 2022Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 years ago
- reveal the vulnerabilities of SplitNN☆32Jun 16, 2022Updated 4 years ago
- ☆40Sep 25, 2023Updated 3 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 7 years ago