In recent years, the notion of “the right to be forgotten”(RTBF) has become a crucial aspect of
data privacy for digital trust and AI safety, requiring the provision of mechanisms that support …

The amount of data generated owing to the rapid development of the Smart Internet of
Things is increasing exponentially. Traditional machine learning can no longer meet the …

Federated Learning (FL) is a novel client-server distributed learning framework that can
protect data privacy. However, recent works show that FL is vulnerable to poisoning attacks …

Data exhibit the distribution of the problem space, and the efficacy of machine learning
models is contingent upon the availability of quality datasets. Additionally, in traditional …

联邦学**作为新兴的分布式机器学**解决了数据孤岛问题. 然而, 由于大规模,
分布式特性以及本地客户端的**自主性, 使得联邦学**极易遭受拜占庭攻击且攻击不易发现 …