KDk: A Novel Machine Learning Framework that Protects Vertical Federated Learning from All the Known Types of Label Inference Attacks with Very High Performance

Federated Learning (FL) has emerged as a pivotal technology in recent years, enabling collaborative model training across disparate entities without centralizing data. This approach is particularly advantageous when organizations or individuals must cooperate on model development without compromising sensitive data.  By keeping data locally and performing model updates locally, FL reduces communication costs and facilitates […]

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