Tackling Non-IID Data and Data Poisoning in Federated Learning Using Adversarial Synthetic Data

Publicado en línea: 12 sept 2024

Páginas: 1 - 13

Recibido: 27 dic 2023

Aceptado: 11 mar 2024

DOI: https://doi.org/10.14313/jamris/3-2024/17

Palabras clave

federated learning, non-IID data, label skew, data poisoning, label flipping

© 2024 Anastasiya Danilenka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.