MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically partitioned in two parties. A semi-honest third party is leveraged for secure federated learning.
☆24Jul 1, 2019Updated 6 years ago
Alternatives and similar repositories for Secret-sharing-based_2PC_vertical_fed_learning
Users that are interested in Secret-sharing-based_2PC_vertical_fed_learning are comparing it to the libraries listed below
Sorting:
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 5 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆17May 10, 2023Updated 2 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
- Secure Inference Resilient Against Malicious Clients☆15May 3, 2022Updated 3 years ago
- ☆12Nov 26, 2019Updated 6 years ago
- ☆13Sep 12, 2021Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Nov 22, 2022Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 4 years ago
- SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks☆12Jun 2, 2022Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago
- Secure Aggregation for FL☆38Nov 25, 2023Updated 2 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency