Abdullah Abdulkarim Alnajim

A Byzantine-Resilient Federated Learning Framework with Cryptographic Gradient Attestation Against Coordinated Model Poisoning Attacks

FedSentinel is presented, a novel Byzantine-resilient federated learning framework that combines cryptographic gradient attestation with adaptive trust-weighted aggregation to protect against coordinated model-poisoning attacks, which are among the most serious challenges.