A federated learning framework against data poisoning attacks on the basis of the genetic algorithm

HIGHLIGHTS

• who: Ran Zhai et al. from the College of Science, North China University of Science and Technology, Tangshan, China have published the article: A Federated Learning Framework against Data Poisoning Attacks on the Basis of the Genetic Algorithm, in the Journal: Electronics 2023, 560 of /2023/
• what: To improve the training accuracy without affecting information loss the authors propose a malicious data detection model using the genetic algorithm to resist model poisoning attack. The authors propose an improved federated learning model on the basis of the genetic algorithm. The authors evaluate the model from two . . .
  

   

  

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