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Open access Sep 2025

Poison to Detect: Detection of Targeted Overfitting in Federated Learning

An underexplored threat in which a dishonest orchestrator intentionally manipulates the aggregation process to induce targeted overfitting in local models of specific clients is studied, demonstrating that client-side integrity testing can provide early, effective, and scalable detection, supporting safer deployment of FL systems.

Soumia Zohra El Mestari, M. Zuziak, Gabriele Lenzini · 0 citations