# byzantine
3 articlestagged with “byzantine”
Federated Learning Attacks
Attacking federated learning through model update poisoning, gradient leakage, free-rider attacks, and Byzantine fault exploitation.
federated-learninggradient-leakagemodel-poisoningbyzantinefree-rider
Federated Learning Poisoning (Training Pipeline)
Federated learning architecture vulnerabilities: Byzantine attacks, model replacement, gradient manipulation, and techniques for poisoning global models through malicious participants.
federated-learningbyzantinemodel-replacementgradient-poisoningaggregationprivacy
Lab: Attacking Federated Learning
Hands-on lab implementing model poisoning attacks in a simulated federated learning setup using the Flower framework: Byzantine attacks, model replacement, and measuring attack impact.
labfederated-learninghands-onflowerbyzantinemodel-poisoningsimulation