Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
Akarsh K. Nair, Muhammad Arifur Rahman, David Brown +1
Split learning enables collaborative model training by partitioning neural networks across clients and servers. However, improper split placement can lead to severe privacy leakage…
cs.LG2026
SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework
Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland +8
Federated learning (FL) offers a promising approach to privacy-preserving clinical risk prediction, but its deployment remains limited by restricted data sharing, client heterogene…