FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
–Neural Information Processing Systems
Since in real-world applications the data may contain bias on fairness-sensitive features (e.g., gender), VFL models may inherit bias from training data and become unfair for some user groups.
Neural Information Processing Systems
Nov-20-2025, 08:48:14 GMT
- Country:
- Asia
- China
- Anhui Province > Hefei (0.04)
- Beijing > Beijing (0.05)
- Guangdong Province > Shenzhen (0.04)
- Japan > Honshū
- Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- China
- Asia
- Genre:
- Research Report (0.68)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology: