crownpku / federated_shap
Code for paper "Interpret Federated Learning with Shapley Values"
☆39Updated 5 years ago
Alternatives and similar repositories for federated_shap:
Users that are interested in federated_shap are comparing it to the libraries listed below
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 8 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆43Updated 3 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆62Updated 4 years ago
- ☆26Updated 5 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- ☆36Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Updated 4 years ago
- vertical federated learning paper lists☆75Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 3 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 2 years ago
- Attentive Federated Learning for Private NLM☆61Updated 8 months ago
- federated-learning☆82Updated 2 years ago
- ☆19Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆42Updated 11 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Federated Multi-Task Learning☆130Updated 6 years ago
- ☆18Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆149Updated 2 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 5 years ago