Cross domain fault diagnosis in internal combustion engines using multisensor data with transfer federated and transformer based federated transfer learning
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20692-5
Abstract: This article presents experimental fault diagnosis research of engines through the integration of bidirectional transfer learning, federated learning, and a new hybrid architecture of Transformer and Deep Neural Networks (DNNs) for out-of-distribution (OOD) testing. For… read more here.
Keywords: transfer learning; federated transfer; transfer; fault diagnosis ... See more keywords
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
A Federated Transfer Learning Framework for Lithium-Ion Battery State of Health Estimation Based on Fast-Charging Segments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Transportation Electrification"
DOI: 10.1109/tte.2025.3594553
Abstract: Accurately estimating the state of health (SOH) of lithium-ion batteries (LIBs) using limited segments of fast-charging data is essential for effective battery management in electric vehicles (EVs). However, the task is complicated by two main… read more here.
Keywords: fast charging; battery; transfer learning; lithium ion ... See more keywords