Author

Shanghao Shi

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#artificial intelligence Preprint Sep 2026

Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning

Federated learning (FL) has become a foundational paradigm for multi-institutional medical AI, allowing hospitals and research centers to jointly train diagnostic models without exchanging patient records. This privacy promise, however, is increasingly contested: a malicious or honest-but-curious server can launch mode...

Chao-Yu Zhang, Shang-Hao Shi, Heng Jin et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural Modeling

It is argued that anomaly detection for agentic AI must reason at the workflow level, where global execution structure exposes signals that local checks cannot see, and presents Skynet, a principled workflow-level anomaly detection framework that turns observed multi-agent execution into directed workflow graphs and sc...

Chao-Yu Zhang, He-Xuan Yu, Heng Jin et al. · 0 citations