Author

David J. Brown

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Jul 2026

BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage

This work proposes a topology-guided framework for privacy-aware split learning based on the persistent Betti complexity of smashed activations, and introduces BettiSafe, a topology-guided split selection strategy that identifies privacy-sensitive layers without requiring explicit attack execution.

Akarsh K. Nair, Muhammad Arifur Rahman, David J. Brown et al. · arXiv.org · 0 citations

Jul 2026

SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

SynPre-FL is proposed, a unified framework combining high-fidelity synthetic EHR generation with synthetic-pretrained FL for robust prediction under non-IID conditions and provides a practical and reproducible framework to enable privacy-aware, interpretable, and robust clinical prediction from distributed tabular EHR...

Akarsh K. Nair, Muhammad Arifur Rahman, N. Shopland et al. · arXiv.org · 0 citations