yiyiyi4321 / Vertical-Federated-LearningLinks
☆12Updated 6 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
Sorting:
- THU-AIR 联邦学习隐私与安全☆13Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- A sybil-resilient distributed learning protocol.☆110Updated 4 months ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆40Updated 6 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- vertical federated learning paper lists☆77Updated 5 years ago
- privacy preserving deep learning☆15Updated 8 years ago
- ☆19Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 5 years ago
- ☆26Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- ☆36Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆28Updated 2 years ago
- ☆47Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- A demo of vertical federated learning on simple datasets☆23Updated 5 years ago
- Federated Learning on XGBoost☆46Updated 6 years ago
- Privacy attacks on Split Learning☆43Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago