GShield: A Defense Against Poisoning Attacks in Federated Learning

The ArXiv paper on GShield presents a novel approach to securing federated learning against poisoning attacks, a critical vulnerability in distributed training. This research contributes to the growing body of work focused on the safety and reliability of federated learning systems.