Author

Hongliang Zhang

h-index 2 View on Semantic Scholar

We have 2 of 9 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning

FedDAB, a two-phase method that combines local contrastive regularization with alignment checking, to defend against backdoor attacks, is proposed and theoretically proves FedDAB's robustness with a convergence rate of $\mathcal{O}(1/T)$.

Hongliang Zhang, Zhongyuan Yu, Guijuan Wang et al. · arXiv.org · 0 citations

Preprint Aug 2026

FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices

In FL-OA, the server collaborates with third-party organization that holds an additional root dataset to perform outsourced auditing, thereby enabling the server to achieve robust aggregation without strong assumptions, demonstrating that FL-OA outperforms existing defense methods against Byzantine attacks.

Hongliang Zhang, Zhongyuan Yu, Fenghua Xu et al. · 0 citations