yiyiyi4321 / Vertical-Federated-Learning
☆12Updated 5 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:
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Attentive Federated Learning for Private NLM☆61Updated 9 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 11 months ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 9 months ago
- ☆43Updated last year
- ☆26Updated 5 years ago
- A demo of vertical federated learning on simple datasets☆22Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- ☆21Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 3 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 11 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- ☆38Updated 4 years ago
- A summay of existing works on vertical federated/split learning☆15Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Improved DP-SGD for optimizing☆18Updated 6 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago