VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication

arXiv:2404.09722v1 Announce Type: new
Abstract: In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial role in training a high-quality AI model. However, good data is not a free lunch and is always hard to access due to privacy regulations like the General Data Protection Regulation (GDPR). A potential solution is to release a synthetic dataset with a similar distribution to that of the private dataset. Nevertheless, in some scenarios, it has been …

abstract access adversarial ai model artificial artificial intelligence arxiv cs.ai cs.cr cs.lg current data dataset federated learning free generative generative adversarial network good however intelligence network privacy publication quality regulations role scale training type