Federated Transfer Learning With Client Selection for Intrusion Detection in Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3140273
Abstract: In this letter, we propose an efficient federated transfer learning (FTL) framework with client selection for intrusion detection (ID) in mobile edge computing (MEC). Specifically, we leverage federated learning (FL) to preserve privacy by training… read more here.
Keywords: client selection; federated transfer; transfer learning; transfer ... See more keywords
A Secure Federated Transfer Learning Framework
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.2988525
Abstract: Machine learning relies on the availability of vast amounts of data for training. However, in reality, data are mostly scattered across different organizations and cannot be easily integrated due to many legal and practical constraints.… read more here.
Keywords: secure federated; transfer learning; transfer; federated transfer ... See more keywords
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3088057
Abstract: Smart manufacturing aims to support highly customizable production processes. Therefore, the associated machine intelligence needs to be quickly adaptable to new products, processes, and applications with limited training data while preserving data privacy. In this… read more here.
Keywords: smart manufacturing; transfer learning; learning; federated transfer ... See more keywords