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...