grasses / Vertical-Federated-Learning
Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
☆30Updated last year
Related projects: ⓘ
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆56Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆41Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 2 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆20Updated 4 years ago
- A demo of vertical federated learning on simple datasets☆20Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆18Updated 4 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆28Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 3 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆42Updated 11 months ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆11Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆48Updated 3 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆15Updated last year
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 9 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆55Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆30Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆19Updated 3 months ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆26Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆70Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆67Updated 3 years ago
- ☆18Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆18Updated 8 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆26Updated 11 months ago