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VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
April 16, 2024, 4:11 a.m. | Xun Yuan, Yang Yang, Prosanta Gope, Aryan Pasikhani, Biplab Sikdar
cs.CR updates on arXiv.org arxiv.org
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 …
access adversarial ai model artificial artificial intelligence arxiv cs.ai cs.cr cs.lg current data data publication dataset federated federated learning free generative good hard high intelligence network play privacy privacy regulations quality regulations role scale training
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