GShield: A Defense Against Poisoning Attacks in Federated Learning
Published:Dec 22, 2025 11:29
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“GShield mitigates poisoning attacks in Federated Learning.”