Author

Tian Sun

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#artificial intelligence Preprint Oct 2026

FedSumUp: User-Auditable Privacy-Aware Representation Sharing for Resource-Constrained Federated Intelligence

Existing federated data condensation methods face privacy risks, as uploaded synthetic data may preserve sensitive information and remain vulnerable to reconstruction attacks. Moreover, their generation often incurs considerable client-side computational overhead, limiting deployment on resource-constrained devices. To...

Jing-Wei Zhao, Tian Sun, Yuan-Yuan Song et al. · 0 citations

#artificial intelligence Preprint Oct 2026

FUSE: Fairness-aware Update Screening against Byzantine Exploitation in $q$-Fair Federated Learning

FUSE is introduced, a structure-aware robust aggregator that uses a small trusted labeled dataset for coefficient recovery, scale and cone-consistency screening, and post-screening step-size control, and improves seed-wise worst-attack accuracy over the strongest baseline on each benchmark by 3.9--30.1 percentage point...

Tian Sun, Jin-Li Liu, Xin Wei et al. · 0 citations