yiyiyi4321 / Vertical-Federated-Learning
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Vertical-Federated-Learning
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- Adversarial attacks and defenses against federated learning.☆15Updated last year
- Attentive Federated Learning for Private NLM☆60Updated 3 months ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆61Updated 4 years ago
- ☆26Updated 4 years ago
- ☆36Updated 3 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago
- ☆18Updated 3 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated last month
- Federated Learning on XGBoost☆46Updated 5 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Updated 4 years ago
- ☆65Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"☆9Updated 4 years ago
- ☆17Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆13Updated 2 years ago
- tf implementation of federated learning☆40Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆24Updated last year
- THU-AIR 联邦学习隐私与安全☆12Updated last year
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆17Updated 4 years ago
- ☆31Updated 4 years ago