Author

Ning Wang

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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

Preprint Aug 2026

Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions

DFL-C is introduced, a novel Byzantine-resilient DFL architecture that enables decentralized nodes to perform collaborative training with global model consistency and implements a dual-domain trust scoring mechanism to provide resilience against data-domain Byzantine manipulations including model poisoning attacks.

Yue Li, Sudip Bhujel, Cameron Lira et al. · 0 citations