A survey on federated unlearning: Challenges, methods, and future directions

Z Liu, Y Jiang, J Shen, M Peng, KY Lam… - ACM Computing …, 2023 - dl.acm.org
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 …

Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation

Z Liu, Y Jiang, W Jiang, J Guo, J Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Unlearning (FU) is gaining prominence for its capacity to eliminate influences of
Federated Learning (FL) users' data from trained global FL models. A straightforward FU …

A Proof-of-Multiple-State Consensus Mechanism for Mobile Nodes in Internet of Vehicles

F Zhao, R Cheng, C Li, Z Su, G Liang, C Yang - Electronics, 2024 - mdpi.com
Blockchain technology provides a reliable information access environment for the Internet of
Vehicles, but the high latency and complex computing consensus mechanism in blockchain …