crownpku / federated_shapView external linksLinks
Code for paper "Interpret Federated Learning with Shapley Values"
☆40May 18, 2019Updated 6 years ago
Alternatives and similar repositories for federated_shap
Users that are interested in federated_shap are comparing it to the libraries listed below
Sorting:
- ☆12Nov 26, 2019Updated 6 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Oct 13, 2023Updated 2 years ago
- The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)☆16Aug 20, 2019Updated 6 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Jul 1, 2023Updated 2 years ago
- Advanced Python visualization library for Association Rules☆10Sep 24, 2021Updated 4 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- Federated Learning on XGBoost☆46Oct 13, 2019Updated 6 years ago
- This is the project for IRM methods☆12Sep 13, 2021Updated 4 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Jul 16, 2021Updated 4 years ago
- Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.☆14Feb 4, 2026Updated last week
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 5 years ago
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning☆13May 5, 2020Updated 5 years ago
- ☆17Jun 25, 2024Updated last year
- Model Poisoning Attack to Federated Recommendation☆32Apr 23, 2022Updated 3 years ago
- Federated Principal Component Analysis Revisited!☆43Nov 1, 2021Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Nov 5, 2020Updated 5 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆14Jul 7, 2020Updated 5 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆18Apr 27, 2022Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆25Sep 28, 2024Updated last year
- ☆18Jan 2, 2019Updated 7 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆86Jun 27, 2023Updated 2 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Nov 17, 2022Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Apr 30, 2024Updated last year
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Aug 16, 2021Updated 4 years ago
- BlockchainGPT: An intuitive, chat-based platform to manage your blockchain environments using natural language processing capabilities.☆11Jul 6, 2023Updated 2 years ago
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆102Jul 18, 2024Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Oct 3, 2022Updated 3 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 2 years ago
- https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html☆30Dec 10, 2021Updated 4 years ago
- ☆29Oct 27, 2023Updated 2 years ago
- Related material on Federated Learning☆26Apr 9, 2020Updated 5 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Mar 24, 2023Updated 2 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago