Digestive neural networks: A novel defense strategy against inference attacks in federated learning

Autor: Seyoung Ahn, Sunghyun Cho, Hongkyu Lee, Jeehyeong Kim, Junggab Son, Rasheed Hussain

Publikováno v: Lee, H, Kim, J, Ahn, S, Hussain, R, Cho, S & Son, J 2021, ' Digestive neural networks : A novel defense strategy against inference attacks in federated learning ', Computers and Security, vol. 109, 102378 . https://doi.org/10.1016/j.cose.2021.102378

Federated Learning (FL) is an efficient and secure machine learning technique designed for decentralized computing systems such as fog and edge computing. Its learning process employs frequent communications as the participating local devices send up

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb15a209c413477360558f8f6a433595
https://doi.org/10.1016/j.cose.2021.102378