1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Uncertainty-Aware Explainable Federated Learning
Yanci Zhang, Han Yu
Federated Learning (FL) is a collaborative machine learning paradigm for enhancing data privacy preservation. Its privacy-preserving nature complicates the explanation of the decis…
cs.AI2023
LR-XFL: Logical Reasoning-based Explainable Federated Learning
Yanci Zhang, Han Yu
Federated learning (FL) is an emerging approach for training machine learning models collaboratively while preserving data privacy. The need for privacy protection makes it difficu…
cs.CR2022★ 1 cited
Towards Verifiable Federated Learning
Yanci Zhang, Han Yu
Federated learning (FL) is an emerging paradigm of collaborative machine learning that preserves user privacy while building powerful models. Nevertheless, due to the nature of ope…